iNEWPM
Course Duration:2 Months

Course Details

Course Content: 1. Understanding Big Data and Hadoop Intro to Big Data Limitations and Solutions of existing Data Analytics Architecture Hadoop Features Hadoop Ecosystem Hadoop 2.x core components Hadoop Storage: HDFS Hadoop Processing: MapReduce Framework Anatomy of File Write and Read Rack Awareness. 2. Hadoop Architecture and HDFS Hadoop 2.x Cluster Architecture - Federation and High Availability Hadoop Cluster Modes Common Hadoop Shell Commands Hadoop 2.x Configuration Files Password-Less SSH MapReduce Job Execution Data Loading Techniques: Hadoop Copy Commands FLUME SQOOP. 3. Hadoop MapReduce Framework - I MapReduce Use Cases Hadoop 2.x MapReduce Architecture Hadoop 2.x MapReduce Components YARN MR Application Execution Flow YARN Workflow 4. Hadoop MapReduce Framework - II Input Splits and HDFS Blocks MapReduce Job Submission Flow MapReduce: Combiner & Partitioner 5. Advance MapReduce Counters Distributed Cache MRunit Reduce Join Custom Input Format Sequence Input Format. 6. Pig About Pig MapReduce Vs Pig Pig Use Cases Programming Structure in Pig Pig Latin Program Data Models in Pig Pig Latin commands : Relational Operators, File Loaders, Group Operator, COGROUP Operator, Joins and COGROUP, Union, Diagnostic Operators ,Pig UDF,Pig Data Types. 7. Hive Hive Background Hive Use Case Hive Vs Pig Hive Architecture and Components Metastore in Hive Limitations of Hive Comparison with Traditional Database Hive Data Types and Data Models, Partitions and Buckets, Hive Tables(Managed Tables and External Tables) Importing Data Querying Data Managing Outputs Hive Script Hive UDF 8. HBase Introduction to NoSQL Databases and HBase HBase v/s RDBMS HBase Components HBase Architecture HBase Cluster Deployment HBase Data Model HBase Shell HBase Client API Data Loading Techniques Filters in HBase. 10. Oozie Flume and Sqoop Oozie Oozie Components Oozie Workflow Scheduling with Oozie Oozie Commands Oozie Web Console

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