Apache Pig and Hive

Learn via : Virtual Classroom / Online
Duration : 4 Days
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Description

    This 4 day training course is designed for developers who need to create applications to analyze Big Data stored in Apache Hadoop using Pig and Hive. Topics include: Hadoop, YARN, HDFS, MapReduce, data ingestion, workflow definition, using Pig and Hive to perform data analytics on Big Data and an introduction to Spark Core and Spark SQL

     

    Delegates will learn

    • Hadoop Distributed File System
    • Apache Pig
    • Apache Hive
    • Spark Core, Spark SQL and Oozie

     

    Audience

    Software developers who need to understand and develop applications for Hadoop.

Outline

An Introduction to the Hadoop Distributed File System

  • Understanding Hadoop
  • The Hadoop Distributed File System
  • Ingesting Data into HDFS
  • The MapReduce Framework

An Introduction to Apache Pig

  • Introduction to Apache Pig
  • Advanced Apache Pig Programming

An Introduction to Apache Hive

  • Apache Hive Programming
  • Using HCatalog
  • Advanced Apache Hive Programming

Working with Spark Core, Spark SQL and Oozie

  • Advanced Apache Hive Programming (Continued)
  • Hadoop 2 and YARN
  • Introduction to Spark Core and Spark SQL
  • Defining Workflow with Oozie

Prerequisites

Students should be familiar with programming principles and have experience in software development. SQL knowledge is also helpful. No prior Hadoop knowledge is required.