Types driver

Duration: 36-40 Hours Prerequisites •There are no Pre-requisites for this course. •A Basic Knowledge of Programming Language is Advantageous. Course Content 1.An Introduction to Python •Why Python, its Unique Feature and where to use it? •Python environment Setup •Discuss about IDE’s like IDLE, Pycharm and Enthought Canopy •Start programming on interactive shell. •Python Identifiers, Keywords •Discussion about installed module s and packages •Access Command line arguments within programs 2.Conditional Statement, Loops and File Handling •Python Data Types and Variable •Condition and Loops in Python •Decorators •Python Modules & Packages •Python Files and Directories manipulations •Use various files and directory functions for OS operations 3.Python Core Objects and Functions •Built in modules (Library Functions) •Numeric and Math’s Module •String/List/Dictionaries/Tuple •Complex Data structures in Python •Arbitrary data types and their Data Structure •Python built in function •Python user defined functions •Python packages and functions •The anonymous Functions - Lambda Functions 4.Object Oriented Python •OOPs Concepts •Object, Classes and Destroying Objects •Accessing attributes,Built-In Class Attributes •Inheritance and Polymorphism •Overriding Methods,Data Hiding •Overloading Operators 5.Exception Handling in Python •Exceptions Handling •Handling various exceptions using try....except...else •Try-finally clause •Argument of an Exception and create self exception class •Python Standard Exceptions •Raising an exceptions, User-Defined Exceptions 6.Debugging Python Programs •Debug Python programs using pdb debugger •Assert for debugging •Testing with Python using UnitTest •Iterable and generator in Python •Yielding from the generators •Standard project setup in Python 7.Regular Expression •Regular Expressions •What are regular expressions? •The match and search Function •Compile and matching •Matching vs searching •Search and Replace feature using RE •Extended Regular Expressions •Wildcard characters and work with them Basic Selenium 1.Introduction to Selenium •Introduction to Automation Testing •Why Automation Testing •Introduction to Selenium components •History and various versions of selenium •What is Selenium 3.0 •Advantages of using Selenium over other tools. 2.Installation and setting up environment •Installation of Python •Automation Setup for Selenium Web Driver •Install and Configure PyDev in Eclipse 3.Selenium-IDE •Introduction •IDE Features •Building & Running Test Cases •Building and Running Test Suites 4.Selenium Web Driver 2.0 •Why Selenium Web Driver •What is a Driver •Download & configuring Web driver •Architecture of selenium web driver •Drivers for Firefox, IE, chrome 5.Identification of Locators •Tools to identify elements/objects •Different methods of finding element oBy ID, By name, class oBy Xpath, By Tag name oBy Link text oBy CSS oUsing Effective X-path 6.Selenium Commands •Various types of operation that can be performed on any elements and how to use them. •Browser Commands, Navigation Commands •Working with different browser •Handling Checkbox, RadioButton •Dropdown and Select Operations •Capturing Screen shots •Handling Keyboard Event and Mouse Event •Multiple Window Handling •Alert & Pop Up Handling. 7.Wait Commands in Selenium •Implicit Wait •Explicit Waits,Expected Conditions Advanced Selenium 1.Framework Designing •What is Framework •Different Types of Framework. •How to Design a framework? •Data Driven Framework using Excel oReading and writing data from Excel oExecuting Testcases from Excel 2.PyTest Framework •Introduction to PyTest framework •Installing PyTest •PyTest Fixtures •Parametrized Test Functions •Running multiple tests using PyTest •Generating Test report 3.Unit Test Framework PyUnit •Basic of pyunit •pyunit Installation •pyunit annotation •Test Case creation •Test Case execution •Assertions/Reporting Errors •Suite execution •pyunit Reports •Using pyunit in Selenium 4.POM Framework •Advantages of POM •How to implement •Using Page Object and Page Factory 5.Maven •Installing Maven •How to create a maven project •Maven Build Cycles. •How to compile and Run tests using Maven 6.Continuous Build Integration tools- Jenkins •What is Jenkins and how to use it •Installation and configuration of Jenkins ?Hands-on Experience on Industry Project, Resume Formation and Interview Tips

Duration: 8 Weeks(Weekdays Batch)/9 Weekend(Weekend Batch) Prerequisites •Knowledge of Manual Testing Core Java 1.Overview of Java •OOP’s, Data Types and Variables •Operators, Control Structures •Strings, Arrays 2.Objects and Classes •Object, Classes and Methods •Method Overloading •Constructors 3.Inheritance •Types of Inheritance •Method Overriding 4.Packages and Interfaces •Defining Packages •Extending Interfaces 5.Exception Handling •Fundamentals of Exception Handling •Exception types •Try and Catch and finally •Multiple Catch 6.Collections Framework • •Collection Interfaces and Classes •Iterator, other Classes Basic Selenium 1.Introduction to Automation Testing •What is Automation Testing? •Which Test Cases to Automate? •Different Automation tools •Automation challenges & Mitigations 2.Introduction to selenium •What is selenium? •History and various versions of selenium •Advantages of using Selenium over other tools. •Selenium components 3.Selenium-IDE •Introduction •IDE Features •Building & Running Test Cases •Building and Running Test Suites 4.Selenium Web Driver 2.0 •Why Selenium Web Driver •What is a Driver •Automation Setup for Selenium Web Driver •Configuration of Selenium Jar using Eclipse 5.Identification of Locators •Tools to identify elements/objects •Setup for Firebug, Firepath •Different methods of finding element oBy ID, By name, class oBy Xpath, By Tag name oBy Link text oBy CSS oUsing Effective X-path 6.Selenium Commands •Various types of operation that can be performed on any elements and how to use them. •Browser Commands, Navigation Commands •Working with different browser •Handling Checkbox, RadioButton •Dropdown and Select Operations •Capturing Screen shots •Handling Keyboard Event and Mouse Event •Multiple Window Handling •Alert & Pop Up Handling. 7.Handling WebTables •What is WebTables •Extracting values from WebTables •Static and Dynamic WebTables 8.Wait Commands in Selenium •Implicit Wait •Explicit Waits,Expected Conditions Advanced Selenium 1.Framework Designing •What is Framework •What is a Framework? •Different Types of Framework. •How to Design a framework? •Data Driven Framework using Excel oDownloading and configuration of Apache POI oExecuting Testcases from Excel 2.TestNG Framework •Test NG & TestNG features •How to integrate TestNG with Eclipse •Test NG Annotations •TestNG Reporting 3.POM Framework •Advantages of POM •How to implement •Using Page Object and Page Factory 4.Cucumber Framework •What is BDD •Cucumber implements BDD •Preparing Features File having test scenario •Writing a step definition •Writing Runner Class •Given, When, Then, And, But annotations and usage in features class •Passing parameters in Step Functions •Using regular expression in step implementation to parameterize •Parameterize complete scenario using features class •Datatable in Cucumber and its implementation •Running Cucumber through ANT Pretty, Tags and Glue •Junit Report Generation in Cucumber •Cucumber HTML Reports Log4j Usage •Using Assertions to report failure •Running simple feature/Step scenario •Introducing selenium layer - WebConnector •Building custom functions in WebConnector •Building a simple test case •Implementing logging using Log4J •Executing project from eclipse •Executing project from ANT •Generating Junit, Cucumber reports •Background and Pending Exception •Parameterizing/repeating test cases from feature classes •Implementing/deciding Tags •Running all/limited tests 5.Reporting •Using Report NG for generating reports through TestNG •Log4j -What is Log4j, how to use it, integration of Log4j with Eclipse 6.Build Tools -Maven •How to create a maven project in Eclipse •Maven Build Cycles. •How to compile and Run tests using Maven 7.Continuous Build Integration tools- Jenkins •What is Jenkins and how to use it •How to integrate Jenkins with Eclipse 8.Selenium Grid •Introduction & Architecture of Selenium Grid •Configuration of Selenium Grid(Hub And Node) •Writing a Sample Script using Selenium •Some Practice and Sample Programming using Grid Hands on Experience on Industry Project, Mock Tests & Interview Tips

Sateesh Patnaik Testing Training Center in Ameerpet, Hyderabad offers Best Selenium Online Training in Hyderabad,India with live Application Online Selenium Training classes with real time Topics. Our Services: • Customized course contents in accordance with your requirements. • Live Online Training. • You Can Attend First 1 or 2 Classes As Demo Classes After You Satisfied With The Classes Then You Can Pay The Fee. • Training Material Support. • We assist you in Resume Preparation • Tests and FAQ s from interview point of view. Note: If You Are Unable To Reach My Contact Number Then Please Send Your details To My Mail ID Contact Number: 9246884257 Selenium Course Content: Introduction On Selenium Tools Selenium IDE 1) Install IDE And Sample Application 2) Explain Different Types Of URL 3) Record & Play Back In IDE And Explain All Options 4) Export TC To Java / TestNG / RC 5) How To Write Code In IDE 6) Insert New Commend / Comment 7) Insert Break Point And Sep Execution And Single Line Execution 8) Explain Element Locators & Basic Selenium Commands 9) Example On Copy Xpath, DOM And CSS 10) Selenium Commands 11) Example On AssignID And CaptureScreenShot 12) Explain Waiting Commands And Verify/ Assert Commands 13) Use Full Selenium Tools 14) Example On Wait For Title, Show All Available Commands, Verify/Assert Title, Verify/Assert Text. 15) Storing Commands Example 16) How To Handle Alerts 17) Work With Drop Downs 18) Work With WebTables 19) Work With Conditions 20) Regular Expression Selenium Core 1) How To install Selenium Core 2) How To Run Test Suite in selenium Core Core Java 1) Download And Install Eclipse 2) Create Work Space, Project, Class 3) Access Modifiers And Example On Class 4) Data Types And Variables 5) Constructors 6) Static Variables 7) Examples On If, If Else, Else If, Nested If, While, Do While, For, For Each 8) Example To Accept Input 9) Example On Break, Continue And Switch Case 10) Different Types Of Inheritance With Examples 11) Polymorphism (Method Over Loading And Method Over Riding) 12) Encapsulation 13) Abstraction 14) Exception Handling Selenium RC 1) Install Selenium RC And Example Program 2) How To Change Port With Using Program 3) How To Change Port With Using Command Prompt 4) How To Run Server From Command Prompt 5) Example On Get Title, Is Text Present…… Selenium Web Driver 1) Webdriver Download And Insatll And Example Program 2) Log Info With Using Web Driver Program 3) Work with Chrome driver 4) Work with IE driver 5) Work with HTML Unit driver 6) How To Work With Pop Ups 7) Work With Web Tables 8) How To Read Data From Excel Sheet 9) How To Complete Read Data From Excel Sheet 10) How To Read Data From MS Access 11) How To Read Data From SQL Server 12) How To Run Same Script In Multiple Browsers 13) How To Open Multiple Applications In Multiple Browsers 14) Frame work (Modular driven FW) 15) Key Word Driven FW And Hybrid FW TestNG 1) Download And Install TestNG 2) Basic Program On TestNG 3) Example With 1 Failure Test & 1Skip Test While Running 2 Tests In TestNG 4) Example With Annotations And Priority 5) Example On WebDriver With TestNG 6) DDT With Using Excel Sheet

Selenium Training (With Core Java) OBJECTIVE OF THE COURSE Selenium is an open source automation testing tool. It has been used widely across the industry for automating functional testing. The recent release of Selenium 2.0 with Web Driver has made Selenium a powerful automation testing tool. Objective of this course is to provide you hands-on training to enable you to start working as an Automation tester immediately. COURSE CONTENTS Introduction • Introduction to Selenium • Introduction to Automation Testing • Scope of Selenium Training • Why Automation Testing • Introduction to testing Lifecycle • Introduction to Selenium components • What was Selenium 1.0 • What is Selenium 2.0 • Selenium 1 Vs Selenium 2 • What is web driver? • Why Web Driver? Automation Tool You will be trained on fundamentals of automation testing and in-depth understanding of Selenium. Introduction to Selenium • Setting up Selenium • Working with Selenium • Selenium and Web Applications • Selenium and Data handling Programming Basics • How does a program work? • Compiler and execution cycle • Break points Verification and Assertions • Introduction • Verification and Asserts • When to use verify and when to use assertions • Extracting values from a drop down • Echo, StoreEval and StoredVars Demystified Locators • What are locators • Types of locators • Examples of using Locators • Advantages and disadvantages of using locators Working with Selenium • Identifying Elements using xpath,id,name, class and etc. • Absolute and Complete Xpaths • Creating customized Xpaths • Different Webdriver functions • Implicit and explicit waits • Working with firefox, chrome and IE • Selenium FAQs by Google • Managing Ajax based components • Handling Frames • Handling Windows • Handling Alerts • Handling multiple windows in Iterator Class Introduction to Eclipse • The Eclipse Tool • Walk through of Eclipse • Role of Eclipse Defects & Bugzilla • introduction to Bugzilla • Types of Defects • Priority of defects • Defect Life Cycle TestNG • Installing TestNG in Eclipse • TestNG annotation usage • Running test in TestNg • Batch running of test in TestNG • Parameterizing Tests- Dataprovider • Assertions/Reporting Errors • TestNG Reports LIVE Project in Selenium THE COURSE HIGHLIGHTS ARE AS FOLLOWS The opportunity to learn from experienced industry professionals. Courses are conducted over the weekends. Classes are conducted in the LAB to enable you to practice, what you learn.

HCL - Velachery - Programs highlights: In-Plant Training (Which gives you a industrial exposure with latest technologies) Workshop (Hands on practical) Internship (Gives you a work experience with the industrial personalities) In-plant training @ HCL Objective: To enrich the student knowledge to Shine in various Domain. Venue: @ our campus. Total Hours:15 hrs(3 days). HCL Technology Sessions: 1.Web Technology, * Creating webpage * ASP dotnet * C# * Visual Basic 2.Embedded Systems * Embedded C * Basic Electronics * Communication Protocol (RS232,I2C,SPI, CAN) * Types controllers&Processor(AT89s52,PIC16,PIC18,ARM.Hardware & Networking * Types of Processor(Intel,pentium,IBM) * Input & Output Devices * Types of cable & wire (SATA,IDE,Power JACK,Ethernet JACK) * Installing on Windows 7,XP,,Server * Troubleshooting * Types of Layers, LAN,WAN,MAN,Switch,HUB * IP address Configuration 4.Cloud Computing * Types of Cloud * Explain about real time cloud 5.Android * Apps creation * Types of apps version * Real time apps 6.Robotics * Types of robot * Driver IC * Types of Motors 7.JAVA/J2EE * Creating and Using Packages * Creating a Package * Naming a Package * Using Package Members * Managing Source and Class Files 8.Ethical Hacking * Basic Networks * Application Areas 9.Microsoft/CCNA For further info & Registration contact the undersigned. With warm regards, Mr.Senthilvel- ,. HCL CDC Velachery, Chennai. (A division of HCL LEARNING LTD.)

HCL - Velachery - Programs highlights: In-Plant Training (Which gives you a industrial exposure with latest technologies) Workshop (Hands on practical) Internship (Gives you a work experience with the industrial personalities) In-plant training @ HCL Objective: To enrich the student knowledge to Shine in various Domain. Venue: @ our campus. Total Hours:15 hrs(3 days). HCL IPT Technology Sessions: 1.Web Technology, * Creating webpage * ASP dotnet * C# * Visual Basic 2.Embedded Systems * Embedded C * Basic Electronics * Communication Protocol (RS232,I2C,SPI, CAN) * Types controllers&Processor(AT89s52,PIC16,PIC18,ARM.Hardware & Networking * Types of Processor(Intel,pentium,IBM) * Input & Output Devices * Types of cable & wire (SATA,IDE,Power JACK,Ethernet JACK) * Installing on Windows 7,XP,,Server * Troubleshooting * Types of Layers, LAN,WAN,MAN,Switch,HUB * IP address Configuration 4.Cloud Computing * Types of Cloud * Explain about real time cloud 5.Android * Apps creation * Types of apps version * Real time apps 6.Robotics * Types of robot * Driver IC * Types of Motors 7.JAVA/J2EE * Creating and Using Packages * Creating a Package * Naming a Package * Using Package Members * Managing Source and Class Files 8.Ethical Hacking * Basic Networks * Application Areas 9.Microsoft/CCNA For further info & Registration contact the undersigned. With warm regards, Mr.Senthilvel- ,. HCL CDC Velachery, Chennai. (A division of HCL LEARNING LTD.)

HCL CDC - Velachery - Programs highlights: In-Plant Training (Which gives you a industrial exposure with latest technologies) Workshop (Hands on practical) Internship (Gives you a work experience with the industrial personalities) In-plant training @ HCL Objective: To enrich the student knowledge to Shine in various Domain. Venue: @ our campus. Total Hours:15 hrs(3 days). HCL IPT Technology Sessions: 1.Web Technology, * Creating webpage * ASP dotnet * C# * Visual Basic 2.Embedded Systems * Embedded C * Basic Electronics * Communication Protocol (RS232,I2C,SPI, CAN) * Types controllers&Processor(AT89s52,PIC16,PIC18,ARM.Hardware & Networking * Types of Processor(Intel,pentium,IBM) * Input & Output Devices * Types of cable & wire (SATA,IDE,Power JACK,Ethernet JACK) * Installing on Windows 7,XP,,Server * Troubleshooting * Types of Layers, LAN,WAN,MAN,Switch,HUB * IP address Configuration 4.Cloud Computing * Types of Cloud * Explain about real time cloud 5.Android * Apps creation * Types of apps version * Real time apps 6.Robotics * Types of robot * Driver IC * Types of Motors 7.JAVA/J2EE * Creating and Using Packages * Creating a Package * Naming a Package * Using Package Members * Managing Source and Class Files 8.Ethical Hacking * Basic Networks * Application Areas 9.Microsoft/CCNA For further info & Registration contact the undersigned. With warm regards, Mr.Senthilvel- ,. HCL CDC Velachery, Chennai. (A division of HCL LEARNING LTD.)

FOR FREE DEMO contact us at: Phone/WhatsApp: +91-(850) 012-2107 HADOOP ONLINE TRAINING BY REALTIME CORPORATE PROFESSIONALS Hadoop Course Content (we can customize the course content as per your requirement) HADOOP Using Cloudera Development & Admin Course Introduction to BigData, Hadoop:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice Phone/WhatsApp: +91-(850) 012-2107

BIGDATA –HADOOP REALTIME TRAINING,JOB SUPPORT,INTERVIEW SUPPORT BY HANDS-ON EXPERTS Phone/WhatsApp: +91-(850) 012-2107 Course Content HADOOP Using Cloudera Development & Admin Course Introduction to BigData, Hadoop:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice

BEST HADOOP LIVE TRAINING BY REALTIME CORPORATE PROFESSIONALS Hadoop Course Agenda (we can customize the course content as per your requirement) HADOOP Using Cloudera Development & Admin Course Introduction to BigData, Hadoop:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice

Demo has Scheduled Today BEST HADOOP ONLINE CERTIFICATION LEVEL TRAINING FROM HYDERABAD,INDIA FOR FREE DEMO contact us: Phone/WhatsApp: +91-(850) 012-2107 Interview Questions and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments Will be provided Hadoop Key Concepts (we can modify the course content as per your requirement) HADOOP Using Cloudera Development & Admin Course Introduction:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice Phone/WhatsApp: +91-(850) 012-2107

HADOOP ONLINE TRAINING,CORPORATE TRAINING,JOB AND INTERVIEW SUPPORT BY CORPORATE PROFESSIONALS Interview Questions and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments Will be provided Hadoop Concepts (we can modify the course content as per your requirement) HADOOP ADMIN AND DEVELOPMENT Introduction:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice

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Big Data & Hadoop Classroon Developer Training In Bangalore. Introduction Course Objective Summary During this course, you will learn: • Introduction to Big Data and Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • HBASE Concepts • Mongo DB Concepts • Sqoop Concepts • Real Life Use Cases Introduction to Big Data and Hadoop • What is Big Data? • What are the challenges for processing big data? • What technologies support big data? • What is Hadoop? • Why Hadoop? • History of Hadoop • Use Cases of Hadoop • Hadoop eco System • HDFS • Map Reduce • Statistics Understanding the Cluster •Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness • 5 daemons Let's talk Map Reduce • Before Map reduce • Map Reduce Overview • Word Count Problem • Word Count Flow and Solution • Map Reduce Flow • Algorithms for simple problems • Algorithms for complex problems Developing the Map Reduce Application • Data Types • File Formats • Explain the Driver, Mapper and Reducer code • Configuring development environment - Eclipse • Writing Unit Test • Running locally • Running on Cluster • Hands on exercises c • Anatomy of Map Reduce Job run • Job Submission • Job Initialization • Task Assignment • Job Completion • Job Scheduling • Job Failures • Shuffle and sort • Oozie Workflows • Hands on Exercises Map Reduce Types and Formats • MapReduce Types • Input Formats - Input splits & records, text input,binary input, multiple inputs & database input. • Output Formats - text Output, binary output, multiple outputs, lazy output and database output • Hands on Exercises. Map Reduce Features •Counters • Sorting • Joins - Map Side and Reduce Side • Side Data Distribution • MapReduce Combiner • MapReduce Partitioner • MapReduce Distributed Cache • Hands Exercises Hive and PIG • Fundamentals • When to Use PIG and HIVE • Concepts • Hands on Exercises HBASE • CAP Theorem • Hbase Architecture and concepts • Programming and Hands on Exercises Case Studies Discussions Thanks&Regards Softech Solution.

HADOOP trainers Required in elegant it services good salary in partime • Introduction to Big Data and Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • HBASE Concepts • Mongo DB Concepts • Sqoop Concepts • Real Life Use Cases Introduction to Big Data and Hadoop • What is Big Data? • What are the challenges for processing big data? • What technologies support big data? • What is Hadoop? • Why Hadoop? • History of Hadoop • Use Cases of Hadoop • Hadoop eco System • HDFS • Map Reduce • Statistics Understanding the Cluster •Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness • 5 daemons Let's talk Map Reduce • Before Map reduce • Map Reduce Overview • Word Count Problem • Word Count Flow and Solution • Map Reduce Flow • Algorithms for simple problems • Algorithms for complex problems Developing the Map Reduce Application • Data Types • File Formats • Explain the Driver, Mapper and Reducer code • Configuring development environment - Eclipse • Writing Unit Test • Running locally • Running on Cluster • Hands on exercises c • Anatomy of Map Reduce Job run • Job Submission • Job Initialization • Task Assignment • Job Completion • Job Scheduling • Job Failures • Shuffle and sort • Oozie Workflows • Hands on Exercises Map Reduce Types and Formats • MapReduce Types • Input Formats - Input splits & records, text input,binary input, multiple inputs & database input. • Output Formats - text Output, binary output, multiple outputs, lazy output and database output • Hands on Exercises. Map Reduce Features •Counters • Sorting • Joins - Map Side and Reduce Side • Side Data Distribution • MapReduce Combiner • MapReduce Partitioner • MapReduce Distributed Cache • Hands Exercises Hive and PIG • Fundamentals • When to Use PIG and HIVE • Concepts • Hands on Exercises HBASE • CAP Theorem • Hbase Architecture and concepts • Programming and Hands on Exercises Case Studies Discussions Thanks&Regards Elegant IT Services, #nd Floor,Aswath Nagar Varthur main road,Near Railway Fly Over Maratha halli,Land mark: Chemmunar Jewellers,

Learn in just One month Big Data Hadoop,Hadoop,Hadoop by Industry experts in Elegant it Introduction to Big Data and Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • HBASE Concepts • Mongo DB Concepts • Sqoop Concepts • Real Life Use Cases Introduction to Big Data and Hadoop • What is Big Data? • What are the challenges for processing big data? • What technologies support big data? • What is Hadoop? • Why Hadoop? • History of Hadoop • Use Cases of Hadoop • Hadoop eco System • HDFS • Map Reduce • Statistics Understanding the Cluster •Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness • 5 daemons Let's talk Map Reduce • Before Map reduce • Map Reduce Overview • Word Count Problem • Word Count Flow and Solution • Map Reduce Flow • Algorithms for simple problems • Algorithms for complex problems Developing the Map Reduce Application • Data Types • File Formats • Explain the Driver, Mapper and Reducer code • Configuring development environment - Eclipse • Writing Unit Test • Running locally • Running on Cluster • Hands on exercises c • Anatomy of Map Reduce Job run • Job Submission • Job Initialization • Task Assignment • Job Completion • Job Scheduling • Job Failures • Shuffle and sort • Oozie Workflows • Hands on Exercises Map Reduce Types and Formats • MapReduce Types • Input Formats - Input splits & records, text input,binary input, multiple inputs & database input. • Output Formats - text Output, binary output, multiple outputs, lazy output and database output • Hands on Exercises. Map Reduce Features •Counters • Sorting • Joins - Map Side and Reduce Side • Side Data Distribution • MapReduce Combiner • MapReduce Partitioner • MapReduce Distributed Cache • Hands Exercises Hive and PIG • Fundamentals • When to Use PIG and HIVE • Concepts • Hands on Exercises HBASE • CAP Theorem • Hbase Architecture and concepts • Programming and Hands on Exercises Case Studies Discussions Thanks&Regards Elegant IT Services, #nd Floor,Aswath Nagar Varthur main road,Near Railway Fly Over Maratha halli,Land mark: Chemmunar Jewellers, Bangalore -

Syllabus- Course Objective Summary During this course, you will learn: Introduction to Big Data and Hadoop Hadoop ecosystem - Concepts Hadoop Map - reduce concepts and features Developing the map - reduce Applications Pig concepts Hive concepts Oozie workflow concepts HBASE Concepts Real Life Use Cases Introduction to Big Data and Hadoop What is Big Data? What are the challenges for processing big data? What technologies support big data? What is Hadoop? Why Hadoop? History of Hadoop Use Cases of Hadoop Hadoop eco Syst em HDFS Map Reduce Statistics Understanding the Cluster Typical workflow Writing files to HDFS Reading files from HDFS Rack Awareness 5 daemons Let's talk Map Reduce Before Map reduce Map Reduce Overview Word Count Problem Word Count Flow and Solution Map Reduce Flow Algorithms for simple & Complex problems Developing the Map Reduce Application Data Types File Formats Explain the Driver, Mapper and Reducer code Configuring development environment - Eclipse Writing Unit Test Running locally Running on Cluster Hands on exercises How Map - Reduce Works Anatomy of Map Reduce Job run Job Submission Job Initialization Task Assignment Job Completion Job Scheduling Job Failures Shuffle and sort Oozie Workflows Hands on Exercises Map Reduce Types and Formats Map Reduce Types Input Formats - Input splits & records, text input, binary input, multiple inputs & database input Output Formats - text Output, binary output, multiple outputs, lazy output and database output Hands on Exercises Map Reduce Features Counters Sorting Joins - Map Side and Reduce Side Side Data Distribution MapReduce Combiner MapReduce Partitioner MapReduce Distributed Cache Hands Exercises Hive and PIG Fundamentals When to Use PIG and HIVE Concepts Hands on Exercises HBASE CAP Theorem  Introducti on to NOSQL Hbase Architecture and concepts Programming and Hands on Exercises Case Studies Discussions Certification Guidance Fee- INR+100 INR Registration Duration-45 hours(weekdays & weekends) Online training available on request Get trained on latest technology by ZEN industry expert. Technology: Java-SCJP/OCJP/Hibernate/Struts/Sprint etc.NET- VB.Net/C#/ASP.net/ MVC frarmrework etc Big data/Hadoop etc ETL/ data Stage/SQL Oracle// DBA/App / forms & reports etc C,C++ PHP/HTML5/javascript/JQuery/AJAX/AngularJS etc For other course like software testing, java, PHP, web technologies, Mobile application using Android/iOS and phone GAP please visit our office or contact us on given number Zeuristech Enterprise Networks Pvt. Ltd.,-ZEN 2nd Floor, Saikar Complex,Beside Ginger Hotel Bhumkar Chowk -pune- Land Mark- ICICI/AXIS Bank ATM Building

Type Computer ADVANCED C PROGRAMMING WITH LINUX Module Description A Tutorial Introduction • C as system Programming Language • Variables and Arithmetic Expressions • The for Statement • Symbolic Contents • Character Input and Output • Arrays • Functions • Arguments- Call by Value • Character Arrays • External Variables and Scope Types, Operators and Expression • Variable Names • Data Types and Sizes • Constants • Declarations • C Operators • Precedence and Order of Evaluation Control Flow • Statement and Blocks • If-Else • Else-If • Loops-While and for • Loops-Do-while • Break and Continue Function and Program Structure • Basics of Functions • Function and Returning Non-integers • External Variables • Scope Rules • Header Files • Static Variables • Register Variables • Block Structure • Initialization • Recursion • The C Processor Pointers and Arrays • Pointers and Addresses • Pointer and Function Arguments • Pointer and Arrays • Address Arithmetic • Character Pointers and Functions • Pointer Arrays: Pointer to Pointers • Multi-dimensional Arrays • Initialization of Pointer Arrays • Pointer vs. Multi-dimensional Arrays • Command-line Arguments • Pointer to Functions • Complicated Declaration Structure • Basic of Structure • Structure and Function • Arrays of Structure • Pointer to Structure • Self-referential Structure • Typedef • Unions • Bit-fields Input and Output • Standard Input and Output • Formatted Output-Print f • Variable-length Argument Lists • Formatted Input-Scan f • File Access Eligility: Professionals/MCA/Engg/BCA/BSc Students with bare minimum knowledge of C programming and Operating system fundamentals. Note: Laptops with Ubuntu or any other linux variant is mandatory. Who should attend the Course? 1. What will I gain after finishing this course? You will learn all basic components of Linux kernel and the Linux kernel architecture.You will get to know how to contribute towards Linux kernel development. 2. Will I be able to write device drivers after this course? Yes, However you need to know that device drivers are not only software modules, they interact with real hardware. For e.g, If you are writing a driver for an ADC, then you need to know all details of ADC. 3. How will this course help me in my career? Today, there is huge demand for Linux kernel developers in the industry. Linux is widely ported operating system in the world. It has been ported to desktops, mobile phones, wrist watches and even for card swipe terminals. 4. Is this just a weekend course? Is this a crash course? Yes and No. It depends upon students. The schedule can be decided by the students. Note that learning is a slow process with loads of study activities in the background. Contact: DHS Informatics Pvt. Ltd. nd Floor, Annam Plaza, 8th F Main, 3rd Block, Jayanagar, Bangalore - . Cell: +

SADGURU TECHNOLOGIES - 04040154733 8179736190 1.Intro to Hadoop, BigData •What is BigData? •Parallel Computer vs. Distributed Computing •Brief history of Hadoop •RDBMS/SQL vs. Hadoop •Scaling with Hadoop •Intro to the Hadoop ecosystem •Optimal hardware and network configurations for Hadoop 2.HDFS – Hadoop Distributed File System •Linux File system options •NameNode architecture •Secondary NameNode architecture •DataNode architecture •Heartbeats, Rack Awareness, Health Check •Exploring the HDFS Web UI LAB #2: HDFS CMD Line 3.Beginning MapReduce •MapReduce Architecture •JobTracker/TaskTracker •Combiner •Partitioner •Shuffle and Sort •Exploring the MapReduce Web UI •Walkthrough of a simple Java MapReduce example •Use case: Word Count in MapReduce LAB #3: Running MapReduce in Java 4.Advanced MapReduce •Data Types and File Formats. •Driver, Mapper & Reducer Class Code. •Build Map & Reduce programs using Eclipse. •Serialization and File-Based Data Structures •Input/output formats •Counters •Run Map Reduce locally and on cluster. LAB #4: Java MapReduce API 5.Hive for Structured Data •Hive architecture •Hive vs. RDBMS •HiveQL and Hive Shell •Managing tables •Data types and schemas •Querying data •Partitions and Buckets •Intro to User Defined Functions LAB #5: Exploring Hive Commands 6.Overview of NoSql and HBase •Introduction of NoSql. •CAP Theorem. •HBase architecture •HBase versions and origins •HBase vs. RDBMS •Data Modeling •Column Families and Regions LAB #6: Intro to HBase Command Line 7.Working with Sqoop •Introduction to Sqoop •Import Data •Export Data •Sqoop Syntaxes •Database Connection Lab#7: Hands on exercise on Sqoop and mysql DB. Thanks & Regards, SADGURU TECHNOLOGIES H. No: 7-1-621/10, Flat No: 102, Sai Manor Apartment, S.R. Nagar Main Road, Hyderabad-500038, Landmark: Beside Umesh Chandra Statue, Approach Road Parallel to Main Road Mob: 91-8179736190, Ph: 040-40154733 USA: +1 (701) 660-0529

Hadoop for Developers and Administrators Hadoop for Developers and Administrators Syllabus COURSE CONTENT Traning at hadoop school of training Magarpatta city Pune. (+91-93257-93756) www.hadoopschooloftraining.co.in Next level of development and administration Schedule: Day 1:BigData • Why is Big Data important • What is Big Data • Characteristics of Big Data • How did data become so big • Why should you care about Big Data • Use Cases of Big Data Analysis • What are possible options for analyzing big data • Traditional Distributed Systems • Problems with traditional distributed systems • What is Hadoop • History of Hadoop • How does Hadoop solve Big Data problem • Components of Hadoop • What is HDFS • How HDFS works • What is Mapreduce • How Mapreduce works • How Hadoop works as a system Day2: Hadoop ecosystem • Pig • What is Pig • How it works • An example • Hive • What is Hive • How it works • An example • Flume • What is Flume • How it works • An example • Sqoop • What is Sqoop • How it works • An example • Oozie • What is Oozie • How it works • An example • HDFS in detail • Map Reduce in details Day3: Hands On-¬‐ • VMsetup • Setting up Virtual Machine • Installing Hadoop in Pseudo Distributed mode Day 4: Hands On-¬‐ • Programs • Running your first MapReduce Program • Sqoop Hands on • Flume Hands Day 5: • Multinode cluster setup • Setting up a multimode cluster Day 6: • Planning your Hadoop cluster • Considerations for setting up Hadoop Cluster • Hardware considerations • Software considerations • Other considerations Day 7: Disecting the Wordcount Program • Understanding the Driver • Understanding the Mapper • Understanding the Reducer Day 8: • Diving deeper into MapReduce • API • Understanding combiners • Understanding partitioners • Understanding input formats • Understanding output formats • Distributed Cache • Understanding Counters Day 9: • Common Mapreduce patterns • Sorting Serching • Inverted Indexes Day 10: • Common Mapreduce patterns • TF-IDF • Word-Cooccurance Day 11: • Hands on Mapreduce Day 12: • Hands on Mapreduce Day 13: • Introduction to Pig and Hive • Pig program structure and execution process • Joins • Filtering • Group and Co-Group • Schema merging and redefining schema • Pig functions • Motivation and Understanding Hive • Using Hive Command line Interface • Data types and File Formats • Basic DDL operations • Schema Design Day 14: • Hands on Hive and Pig Day 15: • Advanced Hadoop Concepts • Yarn • Hadoop Federation • Authntication in Hadoop • High Availbability Day 16: • Administration Refresher • Setting up hadoop cluster - Considerations • Most important configurations • Installation options Day 17: • Scheduling in Hadoop • FIFO Scheduler • Fair Scheduler Day 18: • Monitoring your Hadoop Cluster • Monitoring tools available • Ganglia • Monitoring best practices Day 19: • Administration Best practices • Hadoop Administration best practices • Tools of the trade Day 20: • Test • Test – 50 questions test (20- Development releated, 20- • Administration related and 10 Hadoop in General Please Contact- Hadoop School of Training Destination Center, Second Floor Magarpatta City Pune: 411013 Phone: India: +91-93257-93756 USA: 001-347-983-8512 www.hadoopschooloftraining.co.in Email: learninghub01@gmail.com Skype: learning.hub01

CMC Limited a Tata Enterprise is a premier information technology company with an all India presence having ISO 9001-2000 certification for its R&D centre & System Integration (NR group). CMC has an enviable record of successfully building IT solutions for massive and complex infrastructure and mark. CMC Ltd. provides embedded course a 4-6 weeks programme designed to impart both theoretical and practical knowledge in the IT domain. This training is designed for those engineering students who are willing to work with this growing technology. This training is based on PIC microcontroller. Many types of electronic projects are constructed easily with the PIC family of microprocessors, among them clocks, very simple video games, robots, servo controllers, and many more. The PIC is a very general purpose microcontroller that can come with many different options, for very reasonable prices. PIC microcontrollers are available in 8/16/32 bit and it’s having many advance features like on chip ADC,CCP/ECCP and USART which enhance it’s need in embedded industry. Following are some of its highlights: • Basics of embedded system. • Need of processors and controllers in embedded system. • Advance C programming. • Writing programs for various peripherals of PIC in assembly and C. • Understand the use and need of various driver integrated circuits(IC). • Interfacing of various peripherals with PIC microcontroller. • Can develop their major project based on any PIC microcontroller. EXTRA ACTIVITIES:-- • Online Aptitude Tests and mock Interviews • HR Sessions • Personality Grooming Sessions • Communication Skills Sessions • Tech chats • Presentations For any clarifications contact us ….. CALL : 09212477204 Visit @ CMC Noida D-108, Sector-2, Noida-201301 Contact Person: Nisha Email: pt@cmcnoida.com

Learn To: •Install Oracle SOA Suite 11g •Deploy SOA Composite Applications •Configure and Administer Oracle SOA Suite 11g and its components •Monitor, troubleshoot, and tune Oracle SOA Suite 11g components •Configure Security Policies for SOA Composite applications •Backup and recover Oracle SOA Suite 11 Skills Gained Describe the Oracle SOA Suite 11g Architecture Discuss Service Component Architecture (SCA) Discuss Service Oriented Architecture (SOA) concepts Install Oracle SOA Suite 11g Deploy SOA Composite Applications Backing up and recovering Oracle SOA Suite 11g Overview of high availability with Oracle SOA Suite 11g Configure Security Policies for SOA Composite applications Configure and Administer Oracle SOA Suite 11g and its components Monitor, troubleshoot, and tune Oracle SOA Suite 11g components Oracle SOA Suite 11g: Administration Content Details Introducing SOA and Oracle SOA Suite 11g •Describing Service-Oriented Architecture (SOA) Concepts •Introducing Service Component Architecture (SCA) Composite Applications •Describing Oracle SOA Suite 11g Architecture and Components •Introducing Oracle SOA Suite 11g Administration Tools Installing Oracle SOA Suite 11gSOA •Creating SOA Schemas with the Repository Creation Utility •Installing Oracle SOA Suite 11g •Configuring an Oracle WebLogic Domain with SOA Suite 11g Components •Exploring Oracle Enterprise Manager Fusion Middleware Control Console Managing SOA Composite Applications •Describing Composite Application Structure and Dependencies •Deploying Composite Applications •Testing and Monitoring Composite Applications •Managing Composite Application Life Cycle Administering the SOA Infrastructure •Configuring Oracle SOA Suite 11g SOA Infrastructure Properties •Monitoring SOA Infrastructure Run-time Information Administering Oracle JCA Adapters and Binding Components •Describing JCA Adapters and Binding Components •Configuring JCA Adapter Properties •Configuring File, Database, and JMS JCA Adapter Run-time Resources •Monitoring JCA Adapter Instances and Faults Administering BPEL Process Service Components and Engines •Describing BPEL Components and Service Engine •Configuring BPEL Service Engine Properties •Tracking Messages in a Composite Application With a BPEL Process •Monitoring BPEL Process Component Instances •Managing BPEL Process Component Instances and Faults Administering Oracle Mediator Service Components and Engines •Describing Mediator Components and Service Engines •Configuring Mediator Service Engine Properties •Monitoring Mediator Component Instances and Routing Information •Managing Mediator Faults Administering Decision Service Components and Business Rules Service Engines •Describing Decision Services and Business Rules Service Engines •Monitoring Business Rules Service Engine Instances and Faults Administering Oracle User Messaging Service •Describing User Messaging Service (UMS) Architecture and Components •Configuring UMS for Human Workflow and BPEL Process Components •Configuring Oracle Web Logic Server Embedded LDAP Server •Configuring the Email Messaging Driver •Testing UMS Services Administering Human Task Service Components and Human Workflow Service Engines •Describing Human Workflow Components and Service Engine •Configuring the Human Workflow Services •Configuring Human Workflow Task Service Properties •Exploring the Work list Application for Task Management Application •Describing User Messaging Preferences Administering Business Events •Describing Business Events •Describing the Event Delivery Network Architecture •Managing Business Event Subscriptions •Monitoring Business Event Occurrences Configuring Security Services and Policies •Describing Oracle Web Services Manager Functionality •Describing Web Service Security Concepts •Creating a Simple Web Service Security Policy •Securing a Service Endpoint with the Security Policy •Monitoring Web Service Security Violations Tuning Performance of Oracle SOA Suite and Components •Stopping Managed Servers •Extending SOA Database Table spaces •Managing connection thresholds •Optimizing Loading of Enterprise Manager Metric Page Information •Purging data from Dehydration Store Troubleshooting Oracle SOA Suite •Resolving Managed Server Startup Problems •Managing Connection Timeouts •Identifying Log Files •Configuring Log Levels •Viewing Log File Entries •Identifying and Resolving Common Application Problems Configuring High Availability for Oracle SOA Suite •Describing Types of High Availability Options •Describing High Availability Implementations Backing Up and Recovery of Oracle SOA Suite Instances •Adopting a Backup and Recovery Strategy •Backing Up Oracle Fusion Middleware Environments •Backing Up the SOA Database Schemas •Recovering Oracle Fusion Middleware Environments •Recovering SOA Database Schemas Contact at SADGURU TECHNOLOGIES H. No: , Flat No: 102, SaiManor Apartment, S.R. Nagar Main Road, Hyderabad-, Landmark: Beside Umesh Chandra Statue Mob: 91-, Ph: 040- Email:

Install Oracle SOA Suite 11g •Deploy SOA Composite Applications •Configure and Administer Oracle SOA Suite 11g and its components •Monitor, troubleshoot, and tune Oracle SOA Suite 11g components •Configure Security Policies for SOA Composite applications •Backup and recover Oracle SOA Suite 11 Skills Gained Describe the Oracle SOA Suite 11g Architecture Discuss Service Component Architecture (SCA) Discuss Service Oriented Architecture (SOA) concepts Install Oracle SOA Suite 11g Deploy SOA Composite Applications Backing up and recovering Oracle SOA Suite 11g Overview of high availability with Oracle SOA Suite 11g Configure Security Policies for SOA Composite applications Configure and Administer Oracle SOA Suite 11g and its components Monitor, troubleshoot, and tune Oracle SOA Suite 11g components Oracle SOA Suite 11g: Administration Content Details Introducing SOA and Oracle SOA Suite 11g •Describing Service-Oriented Architecture (SOA) Concepts •Introducing Service Component Architecture (SCA) Composite Applications •Describing Oracle SOA Suite 11g Architecture and Components •Introducing Oracle SOA Suite 11g Administration Tools Installing Oracle SOA Suite 11gSOA •Creating SOA Schemas with the Repository Creation Utility •Installing Oracle SOA Suite 11g •Configuring an Oracle WebLogic Domain with SOA Suite 11g Components •Exploring Oracle Enterprise Manager Fusion Middleware Control Console Managing SOA Composite Applications •Describing Composite Application Structure and Dependencies •Deploying Composite Applications •Testing and Monitoring Composite Applications •Managing Composite Application Life Cycle Administering the SOA Infrastructure •Configuring Oracle SOA Suite 11g SOA Infrastructure Properties •Monitoring SOA Infrastructure Run-time Information Administering Oracle JCA Adapters and Binding Components •Describing JCA Adapters and Binding Components •Configuring JCA Adapter Properties •Configuring File, Database, and JMS JCA Adapter Run-time Resources •Monitoring JCA Adapter Instances and Faults Administering BPEL Process Service Components and Engines •Describing BPEL Components and Service Engine •Configuring BPEL Service Engine Properties •Tracking Messages in a Composite Application With a BPEL Process •Monitoring BPEL Process Component Instances •Managing BPEL Process Component Instances and Faults Administering Oracle Mediator Service Components and Engines •Describing Mediator Components and Service Engines •Configuring Mediator Service Engine Properties •Monitoring Mediator Component Instances and Routing Information •Managing Mediator Faults Administering Decision Service Components and Business Rules Service Engines •Describing Decision Services and Business Rules Service Engines •Monitoring Business Rules Service Engine Instances and Faults Administering Oracle User Messaging Service •Describing User Messaging Service (UMS) Architecture and Components •Configuring UMS for Human Workflow and BPEL Process Components •Configuring Oracle Web Logic Server Embedded LDAP Server •Configuring the Email Messaging Driver •Testing UMS Services Administering Human Task Service Components and Human Workflow Service Engines •Describing Human Workflow Components and Service Engine •Configuring the Human Workflow Services •Configuring Human Workflow Task Service Properties •Exploring the Work list Application for Task Management Application •Describing User Messaging Preferences Administering Business Events •Describing Business Events •Describing the Event Delivery Network Architecture •Managing Business Event Subscriptions •Monitoring Business Event Occurrences Configuring Security Services and Policies •Describing Oracle Web Services Manager Functionality •Describing Web Service Security Concepts •Creating a Simple Web Service Security Policy •Securing a Service Endpoint with the Security Policy •Monitoring Web Service Security Violations Tuning Performance of Oracle SOA Suite and Components •Stopping Managed Servers •Extending SOA Database Table spaces •Managing connection thresholds •Optimizing Loading of Enterprise Manager Metric Page Information •Purging data from Dehydration Store Troubleshooting Oracle SOA Suite •Resolving Managed Server Startup Problems •Managing Connection Timeouts •Identifying Log Files •Configuring Log Levels •Viewing Log File Entries •Identifying and Resolving Common Application Problems Configuring High Availability for Oracle SOA Suite •Describing Types of High Availability Options •Describing High Availability Implementations Backing Up and Recovery of Oracle SOA Suite Instances •Adopting a Backup and Recovery Strategy •Backing Up Oracle Fusion Middleware Environments •Backing Up the SOA Database Schemas •Recovering Oracle Fusion Middleware Environments •Recovering SOA Database Schemas Contact at SADGURU TECHNOLOGIES H. No: , Flat No: 102, SaiManor Apartment, S.R. Nagar Main Road, Hyderabad-, Landmark: Beside Umesh Chandra Statue Mob: 91-, Ph: 040- Email:

RStrainings offers Selenium online training by highly skilled instructors. Selenium is a set of tools for cross-platform automated testing of web applications, it is a javascript open source web testing tool that support testing web 2.0 applications on multiple browsers and multiple operating systems.RStrainings provides high quality training for required online courses. Briefly about Course: Introduction of Automation, Why Automation, When to start Automation, Where to use Automation, Scope of Automation in future, What is an Automated tool, How to learn any Automated tool, Types of Automated tools, Selenium IDE, Selenium RC, Selenium Web Driver, Selenium GRID Contact Details: Phone: +

MOBILE PAIRING COURSE FEES: /- DURATION:2 MONTH SYLLABUS: Parts of Computer/Computer Operating (For Fresher) Driver Installation Mobile Phone S/W Repairing with coding Repairing All Type of Software Problem (New File Flashing, Set Dead, Restart, On/Off, Hang etc.) All Type Of Unlocking - User Lock, SIM/Country Lock Online IMEI Repairing Special Training for Unlocking Blackberry & Android Mobile Application S/W Training Special Chinese Mobile Repairing Training Course (Flashing, Formatting, File Back-up, User Unlocking etc.) Special Tips & Tricks For Software Service Centre Mobile Phone Basic Electronics Course Introduction to Electronics Charge/Voltage/Types of Current All Electronics Components Identification testing & their working Basic Tips for Mobile Phone Hardware Repairing Complete Hardware Repairing Course Section of Mobile Phone/Circuit Diagram Reading GSM/CDMA/Chinese Mobile Phone Troubleshooting Practically Handset Repairing Tips for Service Centre Advance Mobile Phone Hardware Repairing Course Introduction About Smart Phones Describe About Mobile Operating System of I-Phone, Blackberry, Samsung Android Phone Features of Smart Phones Identify of I-Phones Identification of Components Block Diagram Fault & Finding Difference Between I-Phone 3G & 3GS and I-Phone 4 & 4S GPRS System & Wi-Fi System Assembling & Disassembling of Smart Phone What is the difference between in repairing point of view smart phones & others mobile phones? Smart Phones H/W Trouble Shooting with Circuit Chart. Adavnce Mobile Phone Software Repairing Course Phone Upgrading,Jail Break,Country Unlock. Android Phone root,Pattern lock,Flashing. Blackberry Lock,Flashing Mep Problem. Samsung Flashing,Hard Reset. Smart Phone Interenet Connectivity. I-Phone,Android Apps Installation. Wi-Fi Connectivity in Blackberry Software installation and registration. Online Software Repairing. I-Phone Factory Unlocking Overview.

Ducat is a leading name in the computer training industry. We have a pool of highly qualified technical consultants working with us. The training program would be interactive one with a project base to let students get insight of the subject. We provides embedded course a 4-6 Months designed to impart both theoretical and practical knowledge in the Industrial domain. This training is designed for those engineering students who are willing to work with this growing technology. This training is based on Embedded System. Many types of electronic projects are constructed easily with different micro controllers, among them clocks, very simple video games, robots, servo controllers, and many more. With the fast movement of technology, this concoction of Embedded System and IT deals to provide the new dimension to the lifestyle of human. This conjoining leads to have sophisticated working process and splitting work and process to be happen through ease and preciseness. We are offering Industrial/Project Training in following domains…. Embedded System & Embdroid (Embedded System + Android) a) Basic Electronic. b) Embedded C With DS( On Windows/Linux) c) 8051 d) PIC e) AVR f) ARM g) Linux Internals h) Linux Device Driver Other Technologies for ECE/EEE/EN(B.Tech/M.Tech)/Phd Students… · Red Hat Linux-07 · Matlab/Simulink(Toolboxes: Digital Signal,Image Process,Fuzzy,Neural, Speech SIgnal,Communication, control,Simpower) · VLSI & PLC/Scada · CCNA/CCNP/MCSE-2012 CERTIFICATION Certificates will be provided to each successful participant at the end of the training by DUCAT. Please note that reasonable Hostel / PG accommodations available near our training location for outstation candidates. In case of any clarification please feel free to get in touch with us. Thanks and Regards Nisha DUCAT, Noida A - 43 & A - 52 Sector - 16, Noida (U.P) (Near McDonalds) Phone:0120-4646464 Mobile : 8588026966 Email: nishaducat@gmai l.com For More Infor Visit : http://www.ducatindia.com/embeddedsystemtraining

Hadoop Develoment Course Contents: Big Data Concepts: 1.What is Big Data 2.How it differs from traditional data 3.Characteristics of big data Hadoop: 1.Overview 2.Components of Hadoop 3.Performance and scalability 4.Hadoop in the context of other data stores 5.Differences between noSQL and Hadoop Unix: 1.installation 2.Basic commands 3.Users and groups Hadoop installations: 1.Standalone mode 2.Pseudo distributed mode HDFS: 1.Architecture 2.Configuring HDFS 3.Blocks, name node and data nodes 4.Job tracker and task tracker 5.Hadoop fs command line interace 6.Basic file system operations & file system api 7.Executing default map reduce examples in hadoop MapReduce: 1.What is MapReduse and how it works 2.Configuring eclipse with Hadoop 3.Mapper, reducer and driver 4.Serialization 5.Custom writable implementation examples in java 6.Input formats 7.Output formats 8.Counters 9.Writing custom counters in java 10.Streaming 11.Sorting (partial, total and secondary) 12.Joins (map side and reduce side joins) 13.No reducer programs 14.Programs in map reduce Hive 1.What is Hive 2.How is data organizes in Hive 3.Data units 4.Data types 5.Operators and functions 6.Creation of tables and partitions 7.Loading the data into HDFS 8.Partition based query 9.Joins 10.Aggregations 11.Multi Tables file inserts 12.Arrays, maps, union all 13.Altering and dropping tables 14.Custom map reduce scripts HBase 1.Zookeeper 2.Data organization in hbase 3.Creating, altering, dropping, inserting the data 4.Joins, Aggregations 5.Custom map reduce scripts 6.Integration of HBase, hive and Hadoop Hadoop Adminstration: The following are common from the above course BigData concepts, Hadoop, unix, Hadoop installations, HDFS. Mapreduce (introduction only) Extra concepts: 1.Hadoop fully distributed mode installation 2.Execution of map reduce programs in fully distributed mode 3.Job scheduling with oozie 4.Monitoring with nagios 5.Logging with Flume 6.Data transfer from other RDBMS using Sqoop Contact us for more details ELEGANT IT SERVICES

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