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Apache Pig and Hive

Course type: Virtual Classroom / Online Duration: 4 Days Download PDF
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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.