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Advanced Excel Certification Online Training on Excel MaGE is offering training on MS Excel through a comprehensive and modular set of Learning Content and customised hands on platform developed in-house. •MS Excel still reigns supreme when it comes to spread sheet usage in business. •Employees with this skill are required from small companies to bigInternational companies. •Knowledge of Excel is required from entry level staff to Senior Managers. Objectives There is a huge demand for resources skilled on MS Excel. Our objective is tocreate a talent pool proficient in MS Excel to fulfil this demand. We aim to trainstudents through Microsoft Official curriculum plus a customised coursedeveloped by us to help the students practice and learn real time scenarios.There will be a Course Completion Certificate from MaGE, based on assessments on each level. Benefits to Students •Knowledge and practice of MS Excel. •Learning and practicing MS Excel with real time scenarios. •Great value-add for student’s Resume which can help him/her get a greatcareer. •Student gets 1 Certificate from MaGE after an online MCQ bases assessment Course Content The course will cover 3 levels of Learning Excel: •Level 1 Basic Course on Excel •Level 2 Intermediate Course on Excel •Level 3 Advanced Course on Excel   Level1: Basic Course on Excel This course is intended for novice information workers who want to learn beginninglevel Excel 2010 skills.After completing this course, students will be able to: •Create workbooks •Modify workbook content •Modify worksheet content •Zoom in on a worksheet •Arrange multiple workbook windows •Add buttons to the Quick Access Toolbar •Customize the ribbon •Maximize usable space in the program window •Enter and revise data •Move data within a workbook •Find and replace data •Correct and expand upon worksheet data •Define Excel tables •Format cells •Apply workbook themes and Excel table styles. •Add images to worksheets •Add headers and footers to printed pages •Prepare worksheets for printing •Print worksheets •Print parts of worksheets •Print charts Level2: Intermediate Course on Excel This course shows students how to of perform calculations on data, locate andvalidate data, create styles and format and filter data, reorder and summarize data,and combine data from multiple sources.After completing this course, students will be able to: •Name groups of data •Create formulas to calculate values •Summarize data that meets specific conditions •Find and correct errors in calculations •Define styles •Make numbers easier to read •Change the appearance of data based on its value •Limit data that appears on your screen •Manipulate worksheet data •Define valid sets of values for ranges of cells •Sort worksheet data •Organize data into levels •Look up information in a worksheet •Use workbooks as templates for other workbooks •Link to data in other worksheets and workbooks •Consolidate multiple sets of data into a single workbook •Group multiple sets of data Level3: Advanced Course on Excel This course provides students with the skills to analyse alternative data sets, createdynamic worksheets by using PivotTables, create charts and graphics, automate repetitivetasks, work with other Microsoft Office programs, and collaborate on workbooks.After completing this course, students will be able to: •Define an alternative data set •Define multiple alternative data sets •Vary your data to get a desired result by using Goal Seek •Find optimal solutions by using Solver •Analyse data by using descriptive statistics •Analyse data dynamically by using PivotTables •Filter, show, and hide PivotTable data •Edit PivotTables •Format PivotTables •Create PivotTables from external data •Create charts •Customize the appearance of charts •Find trends in your data •Summarize your data by using Sparklines •Create dynamic charts by using PivotCharts •Create diagrams by using SmartArt •Create shapes and mathematical equations •Enable and examine macros •Create and modify macros •Run macros when a button is clicked •Run macros when a workbook is opened •Include Office documents in workbooks •Store workbooks as parts of other Office documents •Create hyperlinks •Paste charts into other documents •Share workbooks •Manage comments •Track and manage colleagues’ changes •Protect workbooks and worksheets •Authenticate workbooks •Save workbooks for the Web Hands on Platform MaGE has developed a guided course on Excel using Adobe Captivate to capture the functioning of MS Excel. This tool guides and prompts the studentto learn and complete exercises on MS Excel by following step by step instructions provided on the screen.This platform will guide the student at each and every step to perform all tasks inExcel. This is a one of its kind tool which helps the student pick up the usage of MS Excelquickly and efficiently, without the support of an instructor.

Online Training from Indua which is a high profiled SAP ABAP online training institute in India offers online training with real time experts and with real time concepts. In the course duration we will cover Introduction to ERP Introduction to SAP & R/3 Architecture Introduction to ABAP/4 ABAP/4 Editor (SE38) Packages Variants Introduction Message Classes Message Class Introduction Selection Screens Open SQL Statements Internal Tables Debugging Techniques Modularization Techniques Reports Dialog / Module Pool Programming/ Transactions Batch Data Communication SAP Scripts Smart Forms ALV Reports Cross Applications RFC ALE IDocs EDI BAPIs Workflow BADIs OOPS Concept Miscellaneous Topics For more details call or

Online training from India Portal is designed to provide best online training programs by experienced faculties working in MNC Companies. If you are searching for online training institute then we can provide you the best solution and help you to find the right faculty for the course you are interested. We are the Best SAP ABAP Training institute in Hyderabad India. 1. Introduction to ERP 2. Introduction to SAP & R/3 Architecture 3. Introduction to ABAP/4 4. ABAP Dictionary 5. Packages 6. Variants 7. Message Classes 8. Selection Screens 9. Open SQL Statements 10. Internal Tables 11. Debugging Techniques 12. Modularization Techniques 13. Reports 14. Dialog / Module Pool Programming/ Transactions 15. Batch Data Communication 16. SAP Scripts 17. Smart Forms 18. ALV Reports 19. Runtime Analysis & SQL Tracing 20. Cross Applications 21. RFC 22. ALE 23. IDocs 24. EDI 25. BAPIs 26. Workflow 27. User Exits 28. BADIs 29. OOPS Concept 30. Miscellaneous Topics For more details please contact ,.

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

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

What we offer: KITS Online Trainings understand the need for a quality training curriculum along with real-time implementation exposure as it forms the very essence of your future career in SAP ABAP. Our well-structured online training course in SAP ABAP, extensively covers all the core aspects of SAP ABAP,PACKAGES,ALV,IDocs,Sql Statements and Smart Forms Actions with an emphasis on live scenarios. Users get the complete flexibility in choosing their batch timings from weekend or weekday slots. Access to expert trainers and instructor led training sessions ensure that you can easily clear your doubts and get the exact guidance that is expected from a classroom training session. Course Content Introduction to ERP Introduction to SAP & R/3 Architecture Introduction to ABAP/4 ABAP Dictionary Packages Variants Message Classes Selection Screens Open SQL Statements Internal Tables Debugging Techniques Modularization Techniques Reports Dialog / Module Pool Programming/ Transactions Batch Data Communication SAP Scripts Smart Forms ALV Reports Cross Applications RFC ALE IDocs EDI BAPIs Workflow User Exits BADIs OOPS Concept The Advantage you get with KITS Online SAP ABAP Course: Flexibility in choosing training sessions as per your existing schedule Advantage of completing the course at your own place and convenience Training resources are prepared by Industry Experts in SAP ABAP with rich real-time experience Interactive training sessions with 24/7 access to support and training resources Focus on building interview skills with extensive interview questions and resume writing tips Real-time implementation projects, course exercises, assignments and complete access to expert faculty Please contact for more details KITS Online Technologies Mail:What we offer: KITS Online Trainings understand the need for a quality training curriculum along with real-time implementation exposure as it forms the very essence of your future career in SAP ABAP. Our well-structured online training course in SAP ABAP, extensively covers all the core aspects of SAP ABAP,PACKAGES,ALV,IDocs,Sql Statements and Smart Forms Actions with an emphasis on live scenarios. Users get the complete flexibility in choosing their batch timings from weekend or weekday slots. Access to expert trainers and instructor led training sessions ensure that you can easily clear your doubts and get the exact guidance that is expected from a classroom training session. Course Content Introduction to ERP Introduction to SAP & R/3 Architecture Introduction to ABAP/4 ABAP Dictionary Packages Variants Message Classes Selection Screens Open SQL Statements Internal Tables Debugging Techniques Modularization Techniques Reports Dialog / Module Pool Programming/ Transactions Batch Data Communication SAP Scripts Smart Forms ALV Reports Cross Applications RFC ALE IDocs EDI BAPIs Workflow User Exits BADIs OOPS Concept The Advantage you get with KITS Online SAP ABAP Course: Flexibility in choosing training sessions as per your existing schedule Advantage of completing the course at your own place and convenience Training resources are prepared by Industry Experts in SAP ABAP with rich real-time experience Interactive training sessions with 24/7 access to support and training resources Focus on building interview skills with extensive interview questions and resume writing tips Real-time implementation projects, course exercises, assignments and complete access to expert faculty Please contact for more details KITS Online Technologies Ph: +91 Ph: +91

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

What we offer: KITS Online Trainings understand the need for a quality training curriculum along with real-time implementation exposure as it forms the very essence of your future career in SAP HANA. Our well-structured online training course in SAP HANA extensively covers all the core aspects of HANA with an emphasis on live scenarios. Users get the complete flexibility in choosing their batch timings from weekend or weekday slots. Access to expert trainers and instructor led training sessions ensure that you can easily clear your doubts and get the exact guidance that is expected from a classroom training session. SAP HANA Online Training Course Content Introduction to ERP Introduction to SAP & R/3 Architecture Introduction to ABAP/4 ABAP Dictionary Packages Variants Message Classes Selection Screens Open SQL Statements Internal Tables Debugging Techniques Modularization Techniques Reports Dialog / Module Pool Programming/ Transactions Modeling Reporting Security and User Management in HANA User Management The Advantage you get with KITS Online SAP HANA Course: Flexibility in choosing training sessions as per your existing schedule Advantage of completing the course at your own place and convenience Training resources are prepared by Industry Experts in SAP HANA with rich real-time experience Interactive training sessions with 24/7 access to support and training resources Focus on building interview skills with extensive interview questions and resume writing tips Real-time implementation projects, course exercises, assignments and complete access to expert faculty Please contact for more details KITS Online Technologies Ph: +91

What we offer: KITS Online Trainings understand the need for a quality training curriculum along with real-time implementation exposure as it forms the very essence of your future career in SAP ABAP. Our well-structured online training course in SAP ABAP, extensively covers all the core aspects of SAP ABAP,PACKAGES,ALV,IDocs,Sql Statements and Smart Forms Actions with an emphasis on live scenarios. Users get the complete flexibility in choosing their batch timings from weekend or weekday slots. Access to expert trainers and instructor led training sessions ensure that you can easily clear your doubts and get the exact guidance that is expected from a classroom training session. Course Content Introduction to ERP Introduction to SAP & R/3 Architecture Introduction to ABAP/4 ABAP Dictionary Packages Variants Message Classes Selection Screens Open SQL Statements Internal Tables Debugging Techniques Modularization Techniques Reports Dialog / Module Pool Programming/ Transactions Batch Data Communication SAP Scripts Smart Forms ALV Reports Cross Applications RFC ALE IDocs EDI BAPIs Workflow User Exits BADIs OOPS Concept Please open below link for complete course content www.kitsonlinetrainings.com/sap-abap-online-training.html The Advantage you get with KITS Online SAP ABAP Course: Flexibility in choosing training sessions as per your existing schedule Advantage of completing the course at your own place and convenience Training resources are prepared by Industry Experts in SAP ABAP with rich real-time experience Interactive training sessions with 24/7 access to support and training resources Focus on building interview skills with extensive interview questions and resume writing tips Real-time implementation projects, course exercises, assignments and complete access to expert faculty Please contact for more details KITS Online Technologies Ph: +91

What we offer: KITS Online Trainings understand the need for a quality training curriculum along with real-time implementation exposure as it forms the very essence of your future career in SAP ABAP. Our well-structured online training course in SAP ABAP, extensively covers all the core aspects of SAP ABAP,PACKAGES,ALV,IDocs,Sql Statements and Smart Forms Actions with an emphasis on live scenarios. Users get the complete flexibility in choosing their batch timings from weekend or weekday slots. Access to expert trainers and instructor led training sessions ensure that you can easily clear your doubts and get the exact guidance that is expected from a classroom training session. Course Content Introduction to ERP Introduction to SAP & R/3 Architecture Introduction to ABAP/4 ABAP Dictionary Packages Variants Message Classes Selection Screens Open SQL Statements Internal Tables Debugging Techniques Modularization Techniques Reports Dialog / Module Pool Programming/ Transactions Batch Data Communication SAP Scripts Smart Forms ALV Reports Cross Applications RFC ALE IDocs EDI BAPIs Workflow User Exits BADIs OOPS Concept Please open below link for complete course content The Advantage you get with KITS Online SAP ABAP Course: Flexibility in choosing training sessions as per your existing schedule Advantage of completing the course at your own place and convenience Training resources are prepared by Industry Experts in SAP ABAP with rich real-time experience Interactive training sessions with 24/7 access to support and training resources Focus on building interview skills with extensive interview questions and resume writing tips Real-time implementation projects, course exercises, assignments and complete access to expert faculty Please contact for more details KITS Online Technologies Ph: +91

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What we offer: KITS Online Trainings understand the need for a quality training curriculum along with real-time implementation exposure as it forms the very essence of your future career in SAP ABAP. Our well-structured online training course in SAP ABAP, extensively covers all the core aspects of SAP ABAP,PACKAGES,ALV,IDocs,Sql Statements and Smart Forms Actions with an emphasis on live scenarios. Users get the complete flexibility in choosing their batch timings from weekend or weekday slots. Access to expert trainers and instructor led training sessions ensure that you can easily clear your doubts and get the exact guidance that is expected from a classroom training session. SAP ABAP Online Training Course Content Introduction to ERP Introduction to SAP & R/3 Architecture Introduction to ABAP/4 ABAP Dictionary Packages Variants Message Classes Selection Screens Open SQL Statements Internal Tables Debugging Techniques Modularization Techniques Reports Dialog / Module Pool Programming/ Transactions Batch Data Communication SAP Scripts Smart Forms ALV Reports Cross Applications RFC ALE IDocs EDI BAPIs Workflow User Exits BADIs OOPS Concept The Advantage you get with KITS Online SAP ABAP Course: Flexibility in choosing training sessions as per your existing schedule Advantage of completing the course at your own place and convenience Training resources are prepared by Industry Experts in SAP ABAP with rich real-time experience Interactive training sessions with 24/7 access to support and training resources Focus on building interview skills with extensive interview questions and resume writing tips Real-time implementation projects, course exercises, assignments and complete access to expert faculty Please contact for more details

Best Software SAP BODS Online Training In Hyderabad Best Software SAP BODS Online Training In BODS OVERVIEW Over view of the Data services Data services benefits, associated products, interfaces Data services Architecture on single and distributed environment. BODS DESIGNER CONCEPTS: Creating the repository (Local, Central repository) Exploring the menu options in the designer Creating the project, Job flow, Data flow, Work flows etc., Defining different types of Data stores (Source and destination data stores) Use data store and system configurations Defining file formats for flat, Excel, XML files BATCH JOBS Creating Batch Jobs Work with objects Create a data flow Adding the Query transform to the data flow Use target tables Execute the job DEFINING DATA INTEGRATOR TRANSFORMS Defining Data Integrator Transforms Various Transforms and its implementation DEFINING DATA PLATFORM TRANSFORMS Defining Data Platform Transforms Various Transforms and its implementation DEFINING DATA QUALITY TRANSFORMS Address Cleanse Data Cleanse Geocoder Match IMPLEMENTATION OF SCD SCD Type0 SCD Type1 SCD Type2 TROUBLESHOOTING BATCH JOBS Use descriptions and annotations Validate and tracing jobs Use View Data and the Interactive Debugger Use auditing in data flows USING FUNCTIONS, SCRIPTS, AND VARIABLES Define built in functions Use functions in expressions Use the lookup function Use variables and parameters Use Data Services scripting language DATA ASSESSMENT Using the data profiler Using the validation transform SETTING UP ERROR HANDLING Set up recoverable work flows Try/Catch Techniques IF CONDITIONAL WHILE LOOP IMPLEMENTATION CAPTURING CHANGES IN DATA Update data over time Use source based CDC Use target based CDC SAP INTEGRATION Data extraction from ECC system to File, Table and SAP BI Data extraction from ECC Extractors Data Extraction from SAP BW ABAP Workflows