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

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Big Data and Hadoop Administrator course offered by learnhadoop.IN provides a hands-on experience to install, configure, and manage the Apache Hadoop platform. The course covers topics to deploy, manage, monitor, and secure a Hadoop Cluster. In addition,it also focuses on the whole ecosystem of Big Data and Hadoop.

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Now HADOOP &BIG DATA Training In BTM, We are offering Big Data & Hadoop training, you can start marketing in Big Data & Hadoop training. We deliver you training that ensure your success.whether you are working or fresher there is a proper technique of teaching for everyone.We offer Exclusive training program through class room & Online at a faster pace & affordable price by real time Architect. Call us for demo Registration Training Provided: Hadoop Developer & Hadoop Admin TOPIC COVERED: 1. Introduction of Big Data & Hadoop 2. HDFS Architecture 3. Single Node Cluster Setup 4. Multi Node cluster Setup 5. MapReduce Concept & Advance MapReduce 6.PIg 7. HIVE 8. IMPALA 9. HBASE 10.SQOOP 11 Zookeeper 12.FLUME 13 YARN 14. Commissioning & Decommissioning 15. Rack Setup 16.Job Scheduling 17.OOzie Session Mode: Online / Classroom Training in (Weekdays / Weekends / /Fast track) SERVICES: 1.Soft copy / 2.Technical notes 3. Study material (soft copy /Hard copy) 4. POC 5. Assignment 6.Online Technical support 7. After course completion you can reschedule your batch 8.Software Installation Guidelines. We are more focused on Practical Implementation. ADDRESS: #th main 1st cross, BTM 1st Stage, Bangalore- India.

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