Overview megamind time system

CA Siteminder Course content 1.What is CA Siteminder and how it is beneficial for an organisation 2.CA Siteminder high level architecture overview 3.CA Siteminder core components and overview of all the components 4.CA Siteminder authentication, authorization and accounting 5.CA Siteminder Request flow 6.CA SiteMinder single sign on and how it works 7.CA Siteminder CDSSO overview and how it works 8.Installation and configuration of all the components in windows and linux operating system and onboarding a sample application 9.Configuration of SSO and CDSSO 10.overview of all the objects in WAMUI and caching parameters 11.overview of migration and upgradation of siteminder environment in parallel and inplace upgrade 12.Walkthrough for the important configuration files of webagent and policy server 13.Walkthrough to monitor and administration of the policy server and its internal components 14.CA siteminder log analysis of webagent and policy server to troubleshoot if there any issues 15.CA SiteMinder federation request flow and types of siteminder federation overview 16. Different stores in siteminder and their uses and timeout concepts

Oracle SOA Suite 11g Basic Concepts and Architecture •Overview of service-oriented architecture (SOA) • Overview XML, XSD, X Path, XSLT, SOAP, WSDL, UDDI •The basic concepts of Oracle BPEL Process Manager • BPEL Process Manager components Installation •Overview of the fusion architecture •Overview of the Web logic server •Overview of the soa server and bam server and Meta data schemas. •Creating the soa domain •Creating the soa server and bam server •Installation steps soa suite 11g •Preparing the start and stop scripts for soa server •Start and stop the admin server Interaction Patterns •Orchestrate services through BPEL for a Synchronous Service •Orchestrate services through BPEL for One-way. •Orchestrate services through BPEL for an Asynchronous Service SCA Architecture •Description of Composite xml. •Source code Explanation of BPEL File. •Source code Explanation WSDL File. •Source code Explanation of Component Type File. Hello World BPEL Process •Synchronous Hello World process. •Explanation of Below Activities. oReceive Activity Syntax. oInvoke Activity Syntax. oReply Activity Syntax. oAssign Activity. oBPEL Variables. oRelationship between BPEL Variables and WSDL messages. oDeploying the application Creation the connection for SOA server. Major & Minor Application Version. Compilation Build Deployment Tab SOA oApplication Testing in the SOA Server Parallel Processing and Conditional Branching •Processing with Parallel Flows oUsing Flown activity oUsing Flow activity •Conditional Branching oSwitch Activity oLimitation of the Receive activity oPick activity to implement the timeouts oPick activity to receive inputs from multiple operations into a single BPEL Fault Handling and Exception Management •Fault types oSystem Faults oBusiness Faults •Fault handling Process based fault handling System fault handling •For synchronous services •For asynchronous Business Faults oFor synchronous services oFor asynchronous Policy based fault handling Transformation Services •Transformation Service • Map Testing and Analysis • XSLT Mapping Tool Adapters and Accessing Adapter from BPEL •Adapter Framework •File Adapter oRead Operation oWrite Operation oSync Read Operation oList of files. •FTP Adapter oGet a file oPut a file oSynchronous get file oList of files •Advanced Queuing •Database Adapters oCalling stored Procedure oCRUD operations Insert Select Update Delete oRead Poll oCustom sql •JMS adapters. oJMS Producer oJMS Consumer •Oracle Apps Adapter introduction •Fault handling in the ADAPTERS •Transaction handling in Adapters Mediators •Introduction to mediators. •Working with mediators. •Event driven networks via mediator •Schematron files, parallel flows, sequential flows •Fault handling in the Mediator •Transaction handling in the Mediators Human Workflow and Work list Application •Human Workflow Service Concepts •Features of workflow service •Workflow service components •Modeling Workflows •Work list Application Features Business Rule and Decision Tables •Introduction to Business Rules. •Using Business Rules and Decision tables in BPEL Working with BAM •Oracle BAM Server •Oracle BAM Application •Features of Oracle BAM Application •Defining Data Object •Defining BAM Dashboard •Configuring BAM Adapter on WebLogic •Adding BAM Connection to application OSB WSDL Preparation and uploading into SBConsole Business service development Proxy service development Fault handling Message flows in the OSB OSB Faqs AIA AIA fundamentals CDMs AIA components ABM EBO EBM ABCS EBS EBF ABCS preparations EBS preparations One PIP explanation Other Topics SOA Suite 10g examples Migration from 10g to 11g OSB basics AIA Basics Dynamic partner link Correlations Preference variables DVMs XRef Tables ANT scripts MDM MDM upload scripts SOA Testing. SOA Production support. SOA Faqs. Resume Preparation help. SOA project explanation. Other Courses Offered by Sadguru Technologies: Web Logic & SOA Administration Oracle Service Bus (OSB) Oracle Application Integration Architecture (AIA) Oracle Business Process Management (BPM) Oracle Application Development Framework (ADF) Oracle Applications Framework (OAF) Web Sphere Application Server (WAS) Oracle Billing & Revenue Management (BRM) Sales Force CRM, Siebel CRM Business Analyst (BA) JAVA Oracle Identity Access Management (OIAM) Oracle Data Integrator (ODI) Web Center Oracle Apps (Functional, Technical) 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-

HADOOP - Modules that we undertake: Introduction to Bigdata •Architecture of BD •3V Concept •Framework and Applications/Tools •Samples •What is Hadoop? •History of Hadoop •Building Blocks - Hadoop Eco - System •Who is behind Hadoop? •What Hadoop is good for and what it is not •HDFS Overview and Architecture •HDFS Installation •HDFS Use Cases •Hadoop FileSystem Shell •FileSystem Java API •Hadoop Configuration •Map/Reduce 2.0 •Pig •Hive •Map Reduce Workflows •Sqoop •HBase - The Hadoop DataBase •Big Data Analysis with R •Data Science •Application and Certification Introduction to Big Data and Hadoop •What is Big Data? •What are the challenges for processing big data? •What technologies support big data? •Distributed systems •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 Best Practices for Cluster Setup •Best Practices •How to choose the right hadoop distribution •How to choose right hardware Cluster Setup •Install Pseudo cluster •Install Multi node cluster •Configuration •Setup cluster on Cloud - EC2 •Tools •Security •Benchmarking the cluster Routine Admin procedures •Metadata & Data Backups •Filesystem check (fsck) •File system Balancer •Commissioning and decommissioning nodes •Upgrading •Using DFSAdmin Monitoring the Cluster •Using the Web user interfaces •Hadoop Log files •Setting the log levels •Monitoring with Nagios Install,Configure and use •PIG •HIVE •HBASE •Flume and Sqoop •Zookeeper Contact Details Dotexe Technologies, #23, South Sivan Koil Street, Vadapalani Chennai–,Phone:+,

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course.

SAP Transport Management System is a process within an SAP instance, which allows you (through SAPgui) to manage transports.Learn SAP TM Online Training from experts with Real Time Scenarios, Seminars, Curriculum, Demo Videos, recorded sessions at SAPVITS. Website:https://www.sapvits.com/project/sap-tm-online-training/ Mail ID: info@sapvits.com India +91 8605661100 USA +1 678 389 8898 UK +44 141 416 8898

Module: SAP HCM (Human Capital Management) SAP HCM is functional Module dealing with complete functionalities of human resource in an organization. SAP HCM functional consultants are responsible for understanding the current Business Process and subsequently mapping them in SAP. Good HCM Consultant should have thorough understanding of all the functionalities of human resource provided by SAP.  Prerequisite for training  Bachelor degree in human resource and administration  Postgraduate degree / diploma in management  Working experience in HR and administration would be an added advantage  Training Course Content (Base Modules)  Personnel Administration  Overview of Personnel Administration  Infotypes and Infogroups  Time Constraint Class for Infotypes  Different Personnel Actions  Employee Number Range  Performance of various Personnel Actions  Dynamic Action and Additional Action  Important transaction codes (PA40, PA30, PA20, PE03 etc.)  Important features (NUMKR, ABKRS)  Overview of standard reports  Organization Management  Overview of Organization Management  Organizational objects and Organizational Structure  Expert Mode  Simple Maintenance  Overview of standard reports  Time Management  Overview of Time Management  Time recording (Positive & Negative)  Public Holidays, Public Holiday Calendar and Factory Calendar  Employee Subgroup Grouping and Personnel Subarea Grouping  Break Schedule  Daily Work Schedule  Period Work Schedule  Work Schedule Rule  Attendance Types  Attendance Quota Types  Absence Types (Paid & Unpaid)  Absence Quota Types  Counting Rule & Deduction Rule  Overtime  Time Evaluation  Time infotypes  Transaction codes (PA30, PA20, PE51, PE03 etc.)  Time features (SCHKZ, TMSTA)  Overview of standard reports  Payroll Administration  Overview of Payroll Administration module  Pay Scale Structure (Pay Scale Type , Area , Group and Level)  Creation of Wage Type Catalogue  Wage Types - Basic Pay, Recurring Payments & Deductions & Additional Payments  Wage Type Model & Characteristics  Processing Class, Cumulation Class and Evaluation Class  Period Parameter & Date Modifier  Generation of Payroll Period  Creation and understanding of Payroll Control Record  Allowance Grouping  Reimbursements, Allowances and Perks  Statutory components viz. Provident Fund, ESIC, P. Tax, LWF  Integration of Time to Payroll  Creation of Remuneration Statement (Pay Slip)  Payroll Processing  Generation of Remuneration Statement  Exit Payroll  Integration of Payroll to Finance  Infotypes (Payroll India)  Transaction codes (PA03, PA30, PE03, PE51, SM31 etc.)  Important features (TARIF, LGMST)  Overview of standard reports  Training Course Content (Extended Modules)  Recruitment  Benefits & Compensation Management  Learning Solutions  Awards & Discipline  Training & Event Management  Performance Appraisal  Employee Self Service  Manager Self Service  Trainer’s Profile  Working consultants, Module Leads and Project Managers with CMM level 5 companies  Freelancers  Extensive exposure on various projects covering end-to-end implementation, upgrades, rollouts, enhancements, supports etc.  Excellent flair of consulting and training  Course Duration  Flexible training schedule  60+ hours of class room training  Weekdays & Weekend batches  Course Fee  Rs. 30,000 (INR)  System Access  24X7 access to SAP software via internet across globe.  Additional Features:  Fully comprehensive and practical approach in transferring knowledge  Provision of configuration steps  Provision of study material strictly from interview point of view  Comprehensive test towards the end of the course  Preparation for interview  Reformatting of CV  Contact detail  +91-9325793756 (info@learninghub.co.in)

Oracle Apps Technical Online Training in Hyderabad, Bangalore, USA, UK, AU and Canada KBS Training Institute trained the students and employees throughout the world like India, China, Singapore, UK, USA, France, Newzeland, UAE, Germany, Japan, Russia, Italy, Europe, Dubai, Malaysia, Australia and etc. We have experienced faculty they will teach oracle apps technical all modules and they will clarify all doubts at any time. We will offer Oracle all courses training with job placement by real time experts. Course Overview The Oracle Apps Technical course offers scholars and employees with an understanding of the Oracle Applications and helps to acquire needed skills for an Oracle Apps Manufacturing Technical Consultant. It covers complete details about all Manufacturing Modules and growth of RICE objects which include Conversions from legacy systems, Interfaces, Development of Forms and Reports and Modification of existing Oracle standard interfaces, reports and forms. This course gives complete Manufacturing Modules Overview and Navigation. Main Course Topics – KBS Training Institute Introduction to Oracle Applications Manufacturing Modules Overview Application Developer System Administration Introduction to Rice Objects Inventory – RICE Objects Bill-Of-Material – RICE Objects Work-In-Process – RICE Objects Purchasing – RICE Objects Alerts Apps Schema Applied Technologies Overview Contact Details: KBS Training Institute, K.V.Rao, +91 India - Hyderabad - Bangalore.

HYPERION ONLINE TRAINING HYPERION ESSBASE COURSE CONTENT ESSBASE OVERVIEW Multidimensional Analysis Oracle's Enterprise Performance Management System Essbase Production Environment Components DESIGNING APPLICATIONS AND DATABASES Creating Applications and Databases Creating Outlines DESIGNING DATA DESCRIPTOR DIMENSIONS Data Descriptor Dimensions Overview Designing Time Dimensions Designing Scenario Dimensions Outline Calculations Designing Accounts Dimensions Testing Outline Calculations OPTIMIZING DATA DESCRIPTOR DIMENSIONS Creating Member Aliases Dimension Types Creating Period-to-Date Totals Dynamic Calc Members Enhancing Accounts Dimensions Optimizing Data Storage DEVELOPING DIMENSION DESIGNS Business View Dimensions Overview Attributes in Database Design Combining Business Views Developing Label Outlines CREATING BASIC DIMENSION BUILD RULES FILES Rules Files Overview Creating Dimension Build Rules Files Configuring Dimension Maintenance Settings CREATING ADVANCED DIMENSION BUILD RULES FILES Advanced Dimension Build Rules Files Overview Creating Shared Members Manipulating Fields Creating User-Defined Attributes Creating Attribute Dimensions with Rules Files LOADING DATA Data Load Overview Creating Data Load Rules Files Selecting and Rejecting Records Capturing New Members GETTING STARTED WITH SMART VIEW Navigating Smart View Connecting to Data Sources Creating Ad Hoc Grids Setting the Point of View Associating Data Sources with Worksheets Creating Free-Form Grids CREATING REPORTS WITH SMART VIEW Updating Essbase Data Integrating Essbase Data with Microsoft Office Creating Shared Database Perspectives

Overview: The timekeeper plays a vital role in the success of Emory's Time and Attendance System (TAS). Communication with supervisors and performance of the various responsibilities will prevent errors, ensure correct payments to employees, and minimize the time spent on payrollrelated activities. ABOUT ECORPTRAININGS: Ecorp Trainings are one of the best institute providing quality level of training in E-learning process.This is instructor led online training. We also provide corporate training , if group of people interested in same technology. Contact us for detailed course content & register for a free demo. We also provide support in client interviews , resume preparation , ticket resolving. Contact us for custom designed training course by experts exclusively for yourself. We provide training for almost all IT technologies i.e ; JAVA , DOTNET , SAP ,ORACLE , PEOPLESOFT ,HYPERION etc, contact us if you have any particular need. ECORP TRAININGS. Gtalk ID : ecorptrainings Skype ID : ecorptrainings

Overview: Livelink was the first Web-based collaboration and document management system. At that time, the term "Livelink Server" was also used to describe the Livelink executable file. ABOUT ECORPTRAININGS: Ecorp Trainings are one of the best institute providing quality level of training in E-learning process.This is instructor led online training. We also provide corporate training , if group of people interested in same technology. Contact us for detailed course content & register for a free demo. We also provide support in client interviews , resume preparation , ticket resolving. Contact us for custom designed training course by experts exclusively for yourself. We provide training for almost all IT technologies i.e ; JAVA , DOTNET , SAP ,ORACLE , PEOPLESOFT ,HYPERION etc, contact us if you have any particular need. ECORP TRAININGS. Gtalk ID : ecorptrainings Skype ID : ecorptrainings

Free Demo Classes Mnc Real Time Workin Faculty 100% Placement Assurance We are the best Python training institute in Chennai, Giving training for Python with real time professionals and also with best placement assistance. Peridot offers the training by the most experienced real time working and certified experts. So you will get Hands-on experience. Apart From training, placement also doing successfully over peridot systems. Free Trial/Demo classes also given Here.. Hurry Up!!!.... 1. Overview and new features Architechure overview Toplogy and terminalogy 2. Installation Installation overview Profiles - details Install - Network deployment Web server plug-in installation Websphere Application Server V6 migration 3. System management System management architecture Browser-based administrative console Start/stop/monitor processes Other commands Build cell - add / remove nodes 4. Security Overview and architecture Security for system administrator Authentication mechanism and user registries 5. Service integration technologies Overview Architecture Configuration service integration bus resources Configuring JMS resources for service integration bus 6. Performance Application server performance overview Websphere Application Server dynamic cache Performance advisor and Tivoli Performance Viewer(TPV) 7. Problem determination Overview - where to start Log files overview Loading and tracing Log and trace analyzer Hung thread detection Generating an IBM heap dum For More Details, Call Us At (Selvakumar)

With 2.6 quintillion bytes of data being produced on a daily basis, there is a fast growing need of big data & Hadoop training to nurture professionals who can manage and analyse massive (tera/petabytes) data-sets to bring out business insights. To do this requires specialized knowledge on various tools like the Hadoop ecosystem. Through this big data & Hadoop training course, the participants will gain all the skills requisite to be a Hadoop Developer. The participant will learn the installation of Hadoop cluster, understand the basic and advanced concepts of Map Reduce tools used by Big Data analysts like Pig, Hive, Flume, Sqoop and Oozie. The course will train you towards global certifications offered by Cloudera, Hortonworks etc. The course will be very useful for engineers and software professionals with a programming background. HADOOP Online Training by Peopleclick with an excellent and real time faculty. Our Hadoop Big Data course content designed as per the current IT industry requirement. Apache Hadoop is having very good demand in the market, huge number of job openings are there in the IT world. We provide regular and weekend classes as well as Normal track/Fast track based on the learners requirement and availability. As all our faculty is real time professionals our trainer will cover all the real time scenarios. We have trained many students on Apache Hadoop Big Data, We provide Corporate Trainings and Online trainings throughout the world. We will give you 100% satisfaction guarantee, After completion of Hadoop Training we provide days technical support for required candidates. We will provide 100% certification support, resume preparation and Placements. HADOOP ONLINE TRAINING COURSE CONTENT: We provide both Hadoop Development and Admin Training. 1. INTRODUCTION What is Hadoop? History of Hadoop Building Blocks – Hadoop Eco-System Who is behind Hadoop? What Hadoop is good for and why it is Good 2. HDFS Configuring HDFS Interacting With HDFS HDFS Permissions and Security Additional HDFS Tasks HDFS Overview and Architecture HDFS Installation Hadoop File System Shell File System Java API 3. MAPREDUCE Map/Reduce Overview and Architecture Installation Developing Map/Red Jobs Input and Output Formats Job Configuration Job Submission Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms) 4. Getting Started With Eclipse IDE Configuring Hadoop API on Eclipse IDE Connecting Eclipse IDE to HDFS 5. Hadoop Streaming 6. Advanced MapReduce Features Custom Data Types Input Formats Output Formats Partitioning Data Reporting Custom Metrics Distributing Auxiliary Job Data 7. Distributing Debug Scripts 8.Using Yahoo Web Services 9. Pig Pig Overview Installation Pig Latin Pig with HDFS 10. Hive Hive Overview Installation Hive QL Hive Unstructured Data Analyzation Hive Semistructured Data Analyzation 11.HBase HBase Overview and Architecture HBase Installation HBase Shell CRUD operations Scanning and Batching Filters HBase Key Design 12.ZooKeeper Zoo Keeper Overview Installation Server Mantainace 13.Sqoop Sqoop Overview Installation Imports and Exports 14.CONFIGURATION Basic Setup Important Directories Selecting Machines Cluster Configurations Small Clusters: 2-10 Nodes Medium Clusters: Nodes Large Clusters: Multiple Racks 15.Integrations 16.Putting it all together Distributed installations Best Practices Benefits of taking the Hadoop & Big Data course •Learn to store, manage, retrieve and analyze Big Data on clusters of servers in the cloud using the Hadoop eco-system •Become one of the most in-demand IT professional in the world today •Don't just learn Hadoop development but also learn how to analyze large amounts of data to bring out insights •Relevant examples and cases make the learning more effective and easier •Gain hands-on knowledge through the problem solving based approach of the course along with working on a project at the end of the course Who should take this course? This course is designed for anyone who: •wants to architect a big data project using Hadoop and its Eco System components •wants to develop Map Reduce programs to handle enormous amounts of data •you have a programming background and want to take your career to another level Pre-requisites •The participants need basic knowledge of core Java for this course. (If you do not have Java knowledge, then do not worry. We provide you with our 'Java Primer for Hadoop' course complimentary with this course so that you can learn the requisite Java skills) •Any experience of Linux environment will be helpful but is not necessary

Through this big data & Hadoop training course, the participants will gain all the skills requisite to be a Hadoop Developer. The participant will learn the installation of Hadoop cluster, understand the basic and advanced concepts of Map Reduce tools used by Big Data analysts like Pig, Hive, Flume, Sqoop and Oozie. The course will train you towards global certifications offered by Cloudera, Hortonworks etc. The course will be very useful for engineers and software professionals with a programming background. HADOOP Online Training by Peopleclick with an excellent and real time faculty. Our Hadoop Big Data course content designed as per the current IT industry requirement. Apache Hadoop is having very good demand in the market, huge number of job openings are there in the IT world. We provide regular and weekend classes as well as Normal track/Fast track based on the learners requirement and availability. As all our faculty is real time professionals our trainer will cover all the real time scenarios. We have trained many students on Apache Hadoop Big Data, We provide Corporate Trainings and Online trainings throughout the world. We will give you 100% satisfaction guarantee, After completion of Hadoop Training we provide days technical support for required candidates. We will provide 100% certification support, resume preparation and Placements. HADOOP ONLINE TRAINING COURSE CONTENT: We provide both Hadoop Development and Admin Training. 1. INTRODUCTION What is Hadoop? History of Hadoop Building Blocks – Hadoop Eco-System Who is behind Hadoop? What Hadoop is good for and why it is Good 2. HDFS Configuring HDFS Interacting With HDFS HDFS Permissions and Security Additional HDFS Tasks HDFS Overview and Architecture HDFS Installation Hadoop File System Shell File System Java API 3. MAPREDUCE Map/Reduce Overview and Architecture Installation Developing Map/Red Jobs Input and Output Formats Job Configuration Job Submission Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms) 4. Getting Started With Eclipse IDE Configuring Hadoop API on Eclipse IDE Connecting Eclipse IDE to HDFS 5. Hadoop Streaming 6. Advanced MapReduce Features Custom Data Types Input Formats Output Formats Partitioning Data Reporting Custom Metrics Distributing Auxiliary Job Data 7. Distributing Debug Scripts 8.Using Yahoo Web Services 9. Pig Pig Overview Installation Pig Latin Pig with HDFS 10. Hive Hive Overview Installation Hive QL Hive Unstructured Data Analyzation Hive Semistructured Data Analyzation 11.HBase HBase Overview and Architecture HBase Installation HBase Shell CRUD operations Scanning and Batching Filters HBase Key Design 12.ZooKeeper Zoo Keeper Overview Installation Server Mantainace 13.Sqoop Sqoop Overview Installation Imports and Exports 14.CONFIGURATION Basic Setup Important Directories Selecting Machines Cluster Configurations Small Clusters: 2-10 Nodes Medium Clusters: Nodes Large Clusters: Multiple Racks 15.Integrations 16.Putting it all together Distributed installations Best Practices Benefits of taking the Hadoop & Big Data course •Learn to store, manage, retrieve and analyze Big Data on clusters of servers in the cloud using the Hadoop eco-system •Become one of the most in-demand IT professional in the world today •Don't just learn Hadoop development but also learn how to analyze large amounts of data to bring out insights •Relevant examples and cases make the learning more effective and easier •Gain hands-on knowledge through the problem solving based approach of the course along with working on a project at the end of the course Who should take this course? This course is designed for anyone who: •wants to architect a big data project using Hadoop and its Eco System components •wants to develop Map Reduce programs to handle enormous amounts of data •you have a programming background and want to take your career to another level Pre-requisites •The participants need basic knowledge of core Java for this course. (If you do not have Java knowledge, then do not worry. We provide you with our 'Java Primer for Hadoop' course complimentary with this course so that you can learn the requisite Java skills) •Any experience of Linux environment will be helpful but is not necessary

With 2.6 quintillion bytes of data being produced on a daily basis, there is a fast growing need of big data & Hadoop training to nurture professionals who can manage and analyse massive (tera/petabytes) data-sets to bring out business insights. To do this requires specialized knowledge on various tools like the Hadoop ecosystem. Through this big data & Hadoop training course, the participants will gain all the skills requisite to be a Hadoop Developer. The participant will learn the installation of Hadoop cluster, understand the basic and advanced concepts of Map Reduce tools used by Big Data analysts like Pig, Hive, Flume, Sqoop and Oozie. The course will train you towards global certifications offered by Cloudera, Hortonworks etc. The course will be very useful for engineers and software professionals with a programming background. HADOOP Online Training by Peopleclick with an excellent and real time faculty. Our Hadoop Big Data course content designed as per the current IT industry requirement. Apache Hadoop is having very good demand in the market, huge number of job openings are there in the IT world. We provide regular and weekend classes as well as Normal track/Fast track based on the learners requirement and availability. As all our faculty is real time professionals our trainer will cover all the real time scenarios. We have trained many students on Apache Hadoop Big Data, We provide Corporate Trainings and Online trainings throughout the world. We will give you 100% satisfaction guarantee, After completion of Hadoop Training we provide days technical support for required candidates. We will provide 100% certification support, resume preparation and Placements. HADOOP ONLINE TRAINING COURSE CONTENT: We provide both Hadoop Development and Admin Training. 1. INTRODUCTION What is Hadoop? History of Hadoop Building Blocks – Hadoop Eco-System Who is behind Hadoop? What Hadoop is good for and why it is Good 2. HDFS Configuring HDFS Interacting With HDFS HDFS Permissions and Security Additional HDFS Tasks HDFS Overview and Architecture HDFS Installation Hadoop File System Shell File System Java API 3. MAPREDUCE Map/Reduce Overview and Architecture Installation Developing Map/Red Jobs Input and Output Formats Job Configuration Job Submission Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms) 4. Getting Started With Eclipse IDE Configuring Hadoop API on Eclipse IDE Connecting Eclipse IDE to HDFS 5. Hadoop Streaming 6. Advanced MapReduce Features Custom Data Types Input Formats Output Formats Partitioning Data Reporting Custom Metrics Distributing Auxiliary Job Data 7. Distributing Debug Scripts 8.Using Yahoo Web Services 9. Pig Pig Overview Installation Pig Latin Pig with HDFS 10. Hive Hive Overview Installation Hive QL Hive Unstructured Data Analyzation Hive Semistructured Data Analyzation 11.HBase HBase Overview and Architecture HBase Installation HBase Shell CRUD operations Scanning and Batching Filters HBase Key Design 12.ZooKeeper Zoo Keeper Overview Installation Server Mantainace 13.Sqoop Sqoop Overview Installation Imports and Exports 14.CONFIGURATION Basic Setup Important Directories Selecting Machines Cluster Configurations Small Clusters: 2-10 Nodes Medium Clusters: Nodes Large Clusters: Multiple Racks 15.Integrations 16.Putting it all together Distributed installations Best Practices Benefits of taking the Hadoop & Big Data course •Learn to store, manage, retrieve and analyze Big Data on clusters of servers in the cloud using the Hadoop eco-system •Become one of the most in-demand IT professional in the world today •Don't just learn Hadoop development but also learn how to analyze large amounts of data to bring out insights •Relevant examples and cases make the learning more effective and easier •Gain hands-on knowledge through the problem solving based approach of the course along with working on a project at the end of the course Who should take this course? This course is designed for anyone who: •wants to architect a big data project using Hadoop and its Eco System components •wants to develop Map Reduce programs to handle enormous amounts of data •you have a programming background and want to take your career to another level Pre-requisites •The participants need basic knowledge of core Java for this course. (If you do not have Java knowledge, then do not worry. We provide you with our 'Java Primer for Hadoop' course complimentary with this course so that you can learn the requisite Java skills) •Any experience of Linux environment will be helpful but is not necessary For Further query call us @ or

BIG DATATraining @ObjectArena Chennai We at OBJECT ARENA offer advanced IBM courses as well as programming languages in the Industry designed for both fresher and corporate folks. Our courses are created to be the most effective with an objective to provide the best ROI possible. Courses range from taking an individual from introduction to certification, while advanced classes provide a test play ground to refresh their knowledge using intense break-it fix-it lab exercises. We balance lectures with extensive business case oriented intense labs along with daily computerized testing to gauge a student’s progress. Our goal is to provide the best ROI possible. ADVANTAGES Globally Recognized Program Structured & result-oriented training Interactive training session Certified Instructors from the Industry Industry standard Course Materials Industry Certification Frequently Asked questions Industry tour for top students Project exposure for top students Industry mentors for Top students Course content for Big Data BIG DATA - Simple Definition to the technology, 3 V’s of Big Data Big Data Use Cases -Social media, Log files etc., What can be done with the big data -Importance of big data, insights from the data, how is it associated in day-to-day life Big Data Architecture -Introduction to Hadoop, Pig, JAQL, Hive, Hbase, Zookeeper etc., Big data is not just hadoop -The complete picture of how it is done IBM’s proceedings in Big Data Platform -Introduction to BigInsights, InfoStreams etc., BigInsights -Explain about Big sheets (i.e., Live Demo) Text Analytics -Introduction and an example of the terminology Importance of the technology -Some statistical information about the shortage of employees with these skills Case Studies -Case studies in real time scenarios and the future of Big Data. Course content for hadoop Course Content Introduction and Overview of Hadoop What is Hadoop?  History of Hadoop Building Blocks – Hadoop Eco-System Who is behind Hadoop? What Hadoop is good for and what it is not Hadoop Distributed File System (HDFS) HDFS Overview and Architecture HDFS Installation Hadoop File System Shell File System Java API Map/Reduce Map/Reduce Overview and Architecture Installation Developing Map/Red Jobs Input and Output Formats Job Configuration Job Submission HDFS as a Source and Sink HBase as a Source and Sink Hadoop Streaming HBase HBase Overview and Architecture HBase Installation HBase Shell CRUD operations Scanning and Batching Filters HBase Key Design Pig Pig Overview Installation Pig Latin Pig with HDFS Hive  Hive Overview Installation Hive QL Sqoop Sqoop Overview Installation Imports and Exports Zoo Keeper  Zoo Keeper Overview Installation Server Mantainace Putting it all together Distributed installations Best Practices