Apache Pig and Hive

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.

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

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

Program Details
Duration 4 Days
Capacity Max 12 Persons
Training Type Classroom / Virtual Classroom


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