Pig s

Fern loved Wilbur more than anything, and Wilbur loved her too.... Some Pig! introduces a new generation to Wilbur, the most lovable pig in children's literature. E. B. White's masterful text from the classic Charlotte's Web, combined with artist Maggie Kneen's finely detailed work, brings to life the enchanting friendship between Fern and Wilbur. This charming picture-book edition will capture the imagination and win the hearts of young readers everywhere.

Emmett loves pigs. What hewants most of all is a real pig, even though his parents have explained that he can't keep one in the city apartment where they live. But as Emmett's birthday draws near, he feels his dream may finally come true. Mary Stolz's warm story, first published in 1959, is a timeless classic. Garth Williams's original illustrations appear now in full color with help from renowned artist Rosemary Wells.

Mary Stolz's classic story about a boy who dreams of his very own pet pig now features Garth Williams's original illustrations in full color.

Presents instructions for speaking thirteen secret languages, including Pig Latin, one of the best known and easiest codes to learn, and Boontling, developed by people in a California town.

BUY HERE: https://amzn.to/2OKOH1Z P.J. Funnybunny doesn't want to be a bunny anymore! In this hilarious Beginner Book, a young bunny explores life with different animal friends. This bunny-rific tale of self-discovery makes a perfect gift to fill any Easter basket! P.J. Funnybunny is tired of cooked carrots and his big ears. It would be way more fun to be a bear, a bird, or a pig...right? Read along as P.J. leaves home and tries to determine who he is—and where he belongs. But this bunny might just learn that all he wants to be is...himself!

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

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

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 For further details: go through this url Object Arena Software Solutions.pvt.ltd Address:no 1 nehru street co-operative nagar adambakkam,chennai-(Off Velachery Inner ring road) phone: - prasanna:

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

Hadoop Online Training in Depth, Writable and WritableComparable Level of coding. Technologies: Core Java, Hadoop, HDFS, Map Reduce, Advance HDFS, Advance MapReduce, Hive, Pig, Advanced Programming Pig, Sqoop, HBase, Flume, Oozie, Zookeeper, Kafka, Falcon, Log4J, MRUnit, POC's, Hadoop Installation in Linux, All other Ecosystem Installation in Linux. Cloudera and Hortonworks. Advanced F/W: Scala, SPARK, Storm, Mahout, R, Matlab Call me + www.hadoopexpert.in Note: This online Training is not like other online training(like entire training on PPT), there will be no PPT's only technical coding in depth and I can say its more technical, I have successfully completed 42 batches online from last 16 months on Hadoop. Successfully completed 8 bactches on Scala, Spark. Prerequisites: Basic Knowledge on Core Java. (If don't know then we have a separate classes for Java) Basic Knowledge on SQL. Look into the course content and compare with others you will see the quality. I can only say one statement "Lets Hadoop.......!"

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in HIVE II. PIG • Basics • Installation and Configurations • Commands….

Online Training on Big Data & Hadoop Development in Bangalore Fees: Yes, it s AMAZING DEAL, at cheapest price Registration Link: http://bit.ly/2dbtVAz if any issues then simply send email Contact Details: Skype ID: GOITSTORE Whatsapp: +91 8801203085 Promises: * We will help all the participants in getting clarifications on any topic of course content mentioned even after this Weekend Sessions. Support period is till 1st June 2017 (or upto 6 Months extended support from the date of joining), over the weekends. * We will mentor and train you with objective of every thing is practical * We help the candidate in preparing Resume & Give guidance on how to attend interviews Agenda: Mr. Upendra would like to share knowledge on BIG DATA & Hadoop Development during weekend session. At the end of the sessions participants will be able to: * Install Hadoop (GOITSTORE pre built packaged Apache Hadoop on Ubuntu) * Get command over the HDFS Architecture & HDFS / Hadoop Commands * Create tables and write HIVE SQL queries to explore large volumes * Write PIG programs to handle various ETL (Extract Transform Load) scenario s * Bring REAL TIME STREAMING data using FLUME from twitter * Import or Export tables from MySQL Database both locally and from any cloud based or web based servers. * Write Map Reduce code to handle some specific scenario s * Prepare Resume & Handle interviews as per local requirements. We are looking forward for your participation in our Director Mr. Upendra Dharmavarapu s Hadoop Development session. this one you use

Online Training on Big Data & Hadoop Development in Chennai Fees: Yes, it s AMAZING DEAL, at cheapest price Registration Link: http://bit.ly/2dbtVAz if any issues then simply send email Contact Details: Skype ID: GOITSTORE Whatsapp: +91 8801203085 Promises: * We will help all the participants in getting clarifications on any topic of course content mentioned even after this Weekend Sessions. Support period is till 1st June 2017 (or upto 6 Months extended support from the date of joining), over the weekends. * We will mentor and train you with objective of every thing is practical * We help the candidate in preparing Resume & Give guidance on how to attend interviews Agenda: Mr. Upendra would like to share knowledge on BIG DATA & Hadoop Development during weekend session. At the end of the sessions participants will be able to: * Install Hadoop (GOITSTORE pre built packaged Apache Hadoop on Ubuntu) * Get command over the HDFS Architecture & HDFS / Hadoop Commands * Create tables and write HIVE SQL queries to explore large volumes * Write PIG programs to handle various ETL (Extract Transform Load) scenario s * Bring REAL TIME STREAMING data using FLUME from twitter * Import or Export tables from MySQL Database both locally and from any cloud based or web based servers. * Write Map Reduce code to handle some specific scenario s * Prepare Resume & Handle interviews as per local requirements. We are looking forward for your participation in our Director Mr. Upendra Dharmavarapu s Hadoop Development session. this one you use

Online Training on Big Data & Hadoop Development in Delhi Fees: Yes, it s AMAZING DEAL, at cheapest price if any issues then simply send email Contact Details: Skype ID: GOITSTORE Whatsapp: +91 8801203085 Promises: * We will help all the participants in getting clarifications on any topic of course content mentioned even after this Weekend Sessions. Support period is till 1st June 2017 (or upto 6 Months extended support from the date of joining), over the weekends. * We will mentor and train you with objective of every thing is practical * We help the candidate in preparing Resume & Give guidance on how to attend interviews Agenda: Mr. Upendra would like to share knowledge on BIG DATA & Hadoop Development during weekend session. At the end of the sessions participants will be able to: * Install Hadoop (GOITSTORE pre built packaged Apache Hadoop on Ubuntu) * Get command over the HDFS Architecture & HDFS / Hadoop Commands * Create tables and write HIVE SQL queries to explore large volumes * Write PIG programs to handle various ETL (Extract Transform Load) scenario s * Bring REAL TIME STREAMING data using FLUME from twitter * Import or Export tables from MySQL Database both locally and from any cloud based or web based servers. * Write Map Reduce code to handle some specific scenario s * Prepare Resume & Handle interviews as per local requirements. We are looking forward for your participation in our Director Mr. Upendra Dharmavarapu s Hadoop Development session. this one you use

Online Training on Big Data & Hadoop Development in Bangalore Fees: Yes, it s AMAZING DEAL, at cheapest price if any issues then simply send email Contact Details: Whatsapp: +91 8801203085 Promises: * We will help all the participants in getting clarifications on any topic of course content mentioned even after this Weekend Sessions. Support period is till 1st June 2017 (or upto 6 Months extended support from the date of joining), over the weekends. * We will mentor and train you with objective of every thing is practical * We help the candidate in preparing Resume & Give guidance on how to attend interviews Agenda: Mr. Upendra would like to share knowledge on BIG DATA & Hadoop Development during weekend session. At the end of the sessions participants will be able to: * Install Hadoop (GOITSTORE pre built packaged Apache Hadoop on Ubuntu) * Get command over the HDFS Architecture & HDFS / Hadoop Commands * Create tables and write HIVE SQL queries to explore large volumes * Write PIG programs to handle various ETL (Extract Transform Load) scenario s * Bring REAL TIME STREAMING data using FLUME from twitter * Import or Export tables from MySQL Database both locally and from any cloud based or web based servers. * Write Map Reduce code to handle some specific scenario s * Prepare Resume & Handle interviews as per local requirements. We are looking forward for your participation in our Director Mr. Upendra Dharmavarapu s Hadoop Development session. this one you use

Amazing Deal to Become Master in:Big Data & Hadoop Development in Bangalore Fees: 3000/- Yes, it s AMAZING DEAL, at cheapest price Dates: 15th & 16th April 2017 Registration Link: if any issues then simply send email Contact Details: Skype ID: GOITSTORE Whatsapp: +91 8801203085 Promises: * We will help all the participants in getting clarifications on any topic of course content mentioned even after this Weekend Sessions. Support period is till 1st June 2017 (or upto 6 Months extended support from the date of joining), over the weekends. * We will mentor and train you with objective of every thing is practical * We help the candidate in preparing Resume & Give guidance on how to attend interviews Agenda: Mr. Upendra would like to share knowledge on BIG DATA & Hadoop Development during weekend session. At the end of the sessions participants will be able to: * Install Hadoop (GOITSTORE pre built packaged Apache Hadoop on Ubuntu) * Get command over the HDFS Architecture & HDFS / Hadoop Commands * Create tables and write HIVE SQL queries to explore large volumes * Write PIG programs to handle various ETL (Extract Transform Load) scenario s * Bring REAL TIME STREAMING data using FLUME from twitter * Import or Export tables from MySQL Database both locally and from any cloud based or web based servers. * Write Map Reduce code to handle some specific scenario s * Prepare Resume & Handle interviews as per local requirements. We are looking forward for your participation in our Director Mr. Upendra Dharmavarapu s Hadoop Development session. this one you use

GET TRAINED & GET EMPLOYED GET PLACED IN 66 DAYS / JOB ORIENTED TRAINING, We Provide100% JOB ORIENTED TRAINING COURSES REGARDING TRAINING HCL students can learn the technology in practical manner to get placement immediately after course completion. HCL education system designed to deliver training programs based on the student's objectives. Our structured and proven approach to each training programs, helps every student to achieve in their favorite Field. We give more practice and real time exercise to the students to equip their knowledge in practical manner Technology Offered, HCP - HCL Certified Professional CCNA - Cisco Certified Network Associate LINUX MCSA HCE - NW Track - HCL Certified Engineer - Network Track Basic Hardware & Networking CCNA - Cisco Certified Network Associate CCNP - Cisco Certified Network Professional HCE - MS Track - HCL Certified Engineer - Microsoft Track Basic Hardware & Networking CCNA - Cisco Certified Network Associate MCSA HCE - RH Track - HCL Certified Engineer - Redhat Track Basic Hardware & Networking CCNA - Cisco Certified Network Associate LINUX HCE ER- HCL Certified Engineer - Embedded with Robotics Embedded C PIC ARM Robotics HCSE - HCL Certified Software Engineer JAVA C,C++ Core Java Advance Java Fundamentals of Web Technology (HTML5,CSS3,Java Script) HCSE - HCL Certified Software Engineer.NET C,C++ | ASP C# Fundamentals of Web Technology (HTML5,CSS3,Java Script) HCSE - HCL Certified Software Engineer JAVA with Android C,C++ Core Java Android Fundamentals of Web Technology (HTML5,CSS3,Java Script) HCE - HCL Certified Software Engineer - Software Testing UFT VuGen Load Runner ALM HCE - HCL Certified Software Engineer - Bigdata with Hadoop Hadoop Deployment and Map Reducing Map Reducing and Pig Hive and Hbase Zoo Keeper,Sqoop,Apache Flume The above technologies are trained by professionals from HCL, after the training each candidate would be provided with REAL TIME INTERNSHIP to enhance an individual's skill. Each & every candidates are assisted for an excellent placement. CERTIFICATION After the successful completion of training program, a student will get a Training Certificate and Internship from HCL. REGARDING PLACEMENTS Our Placement Department would assist you in many job openings from various IT/Ecommerce s Companies. This will be shared to our trained students also. We would also send you to the interviews till you get JOB INTERVIEW ASSISTANCE 100+ Software Companies hire from us. Our Students attend interviews everyday across companies through HCL CDC We Conduct Mock Exams and Mock Interviews to Boost your Confidence Level. STUDENT FREE BENEFITS Provide Projects for you to Practice Get In-Depth Practical Knowledge on each Topic Job Assistance and Certification Free Technical Support even after Course Completion Pay Fees in Installments Weekdays and Weekends Classes Available HCL Program gives you an opportunity to excel with courses designed for the truly digital, modern IT World. Learn in depth and master disciplines, you'd only heard in intense technology spheres, so far. Build a career that's future ready! Feel Free to Contact us, Thanks&Regards HCL CDC Gandhipuram

HANDS on Training on Big Data & Hadoop Development class room training in US and also Online we provide. Date & Time: 8th march2017 (wednesday)& 9th march 2017 (thursday), 9AM to 5PM Venue: Delhi, Will be communicated only to registered candidates Fees: Yes, it s AMAZING DEAL, at cheapest price Registration Link: if any issues then simply send email Contact Details: Skype ID: GOITSTORE Whatsapp: +91 8801203085 Promises: * We will help all the participants in getting clarifications on any topic of course content mentioned even after this Weekend Sessions. Support period is till 1st June 2017 (or upto 6 Months extended support from the date of joining), over the weekends. * We will mentor and train you with objective of every thing is practical * We help the candidate in preparing Resume & Give guidance on how to attend interviews Agenda: Our Expert would like to share knowledge on BIG DATA & Hadoop Development during weekend session. At the end of the sessions participants will be able to: * Install Hadoop (GOITSTORE pre built packaged Apache Hadoop on Ubuntu) * Get command over the HDFS Architecture & HDFS / Hadoop Commands * Create tables and write HIVE SQL queries to explore large volumes * Write PIG programs to handle various ETL (Extract Transform Load) scenario s * Bring REAL TIME STREAMING data using FLUME from twitter * Import or Export tables from MySQL Database both locally and from any cloud based or web based servers. * Write Map Reduce code to handle some specific scenario s * Prepare Resume & Handle interviews as per local requirements. We are looking forward for your participation with Our Expert in Hadoop Development session.

HANDS on Training on Big Data & Hadoop Development class room training in US and also Online we provide. online classes Venue: Banglore, Will be communicated only to registered candidates Fees: Yes, it s AMAZING DEAL, at cheapest price Registration Link: if any issues then simply send email Contact Details: Skype ID: GOITSTORE Whatsapp: +91 8801203085 Promises: * We will help all the participants in getting clarifications on any topic of course content mentioned even after this Weekend Sessions. Support period is till 1st June 2017 (or upto 6 Months extended support from the date of joining), over the weekends. * We will mentor and train you with objective of every thing is practical * We help the candidate in preparing Resume & Give guidance on how to attend interviews Agenda: Our Expert would like to share knowledge on BIG DATA & Hadoop Development during weekend session. At the end of the sessions participants will be able to: * Install Hadoop (GOITSTORE pre built packaged Apache Hadoop on Ubuntu) * Get command over the HDFS Architecture & HDFS / Hadoop Commands * Create tables and write HIVE SQL queries to explore large volumes * Write PIG programs to handle various ETL (Extract Transform Load) scenario s * Bring REAL TIME STREAMING data using FLUME from twitter * Import or Export tables from MySQL Database both locally and from any cloud based or web based servers. * Write Map Reduce code to handle some specific scenario s * Prepare Resume & Handle interviews as per local requirements. We are looking forward for your participation with Our Expert in Hadoop Development session.

Peridot systems is located in Chennai adyar, having excellent classroom training and also online training facility is available here. Benefits of Peridot systems: •Real time training. •Faculities are 7+ years experienced professionals in MNC’s. •Technical support will be give till 1 year. •6 month lab facility,even after finishing the course. •s/w installation will b free. Hadoop content sample: •Intro to hadoop & big data. •HDFS. •Map Reduce. •PIG. •HIVE. •HBASE. •Flume. •SQOOP For more details contact Ph No: (Sinduja) Venue: KamatchiKrupaApts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu - .

Hadoop is an open-source project administered by the Apache Software Foundation. Hadoop's contributors work for some of the world's biggest technology companies. � That diverse, motivated community has produced a genuinely innovative platform for consolidating, combining and understanding data. � Enterprises today collect and generate more data than ever before. Relational and data warehouse products excel at OLAP and OLTP workloads over structured data. � https://www.facebook.com/BigDataTraining http://learnhadoop.in/contact.html Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. � In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, Map-Reduce,PIG, HIVE, HBase, Zookeeper, SQOOP etc. will be covered in the course Big Data Weekend Classroom Training in Chennai, Registrations Open Call: +91 https://twitter.com/BigDataInfo Visit Us: #67, 2nd Floor, Gandhi Nagar 1st Main Road, Adyar, Chennai-20 To register for upcoming classes weekends(Classroom) June - Fast Track (Classroom)- June

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