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Course Overview
This 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 a

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

Course 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.

Course Objectives
  Describe Hadoop, YARN and use cases for Hadoop Describe Hadoop ecosystem tools and frameworks Describe the HDFS architecture Use the Hadoop client to input data into HDFS Transfer data between Hadoop and a relational database Explain YARN and MaoReduce

Course Outline
Hands-On Labs Use HDFS commands to add/remove files and folders Use Sqoop to transfer data between HDFS and a RDBMS Run MapReduce and YARN application jobs Explore, transform, split and join datasets using Pig Use Pig to transform and export a dataset for

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