Introduction to BigData and its Eco-system
– What is Big Data? – Hadoop – Big Data Overview – Hadoop – Big Data Solution – Hadoop – Introduction – Introduction to Hadoop Eco system
Introduction to HDFS and its Command-Line Interface
– Hadoop – HDFS Overview – Features of HDFS – HDFS Architecture – Hadoop – HDFS Operations
Environment Setup
Introduction to MapReduce (in Java) Core Java Basics
– Hadoop – MapReduce Overview – MapReduce Architecture – YARN Architecture InputFormat
InputSplits, RecordReader, Mapper, Reducer, Partitioner and Combiner
Basic MapReduce Programming ( word count execution in both local and cluster mode)
Advanced MapReduce Programming
– Use Custom Record reader – Use Custom Partitioner
Identity Mapper/Reducer, Distributed Cache, Arbitable Offset, Writable and Writable Comparable Interface
Data Ingestion in to Hadoop
– Apache Sqoop – Apache Flume
Introduction to Hive (Regular Hive + Hive on Tez)
– Hive Introduction – Hive Datatypes -Hive Managed Tables and External Tables – Hive DDL Operations – Hive DML operations – Hive Partitions and Bucketing – Hive Joins – Hive Built-in functions – Hive UDF’s – Use FileFormat like Avro, Sequence, RC and ORC Hive SERDE’s
Performance Tuning in Hive – Hive JDBC connectivity
Introduction to PIG
– PIG Introduction (About Pig , HIVE vs PIG) – PIG Datatypes – PIG operators – PIG UDF’s – Process dataset in PIG script using PiggyBank jars
Introductito Workflow Processing
– Apache Oozie – WordCount Program execution using Oozie workflow – Oozie workflow for sqoop , hive and pig
Introduction to Scala Programming Language and basics
Introduction to SPARK – Spark Introduction – Spark Architecture – Spark RDD’s
– Spark Components( Streaming and Spark SQL) -Programming in Spark + Spark Streaming
Introduction to Kafka
Introduction to NoSql Databases
– Hbase Introduction – Hbase Architecture – HBase Commands – Mongo Db
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