HDP Developer: Java

Course Code:
DEV-301
Duration:
3 days

9:00am to 5.00pm
Course Fees(USD):
$2,800(excl of G.S.T)
2021 Course Dates
Dates available on request
None of the published dates will work for you? Speak to our training consultants for a private tuition arrangement or a closed door training.

Course Overview

This course provides Java programmers a deep-dive into Hadoop application development. Participants will learn how to design and develop efficient and effective MapReduce applications for Hadoop using the Hortonworks Data Platform, including how to implement combiners, partitioners, secondary sorts, custom input and output formats, joining large datasets, unit testing, and developing UDFs for Pig and Hive. Labs are run on a 7-node HDP 2.1 cluster running in a virtual machine that participants can keep for use after the training.

Course Outline

Module 1: Understanding Hadoop, the Hadoop Distributed File System (HDFS) and Map Reduce

Module 2: Partitioning, Sorting and Input/Output Formats

Module 3: Optimizing MapReduce Jobs, Advanced MapReduce Features and HBase Programming

Module 4: Pig and Hive Programming, Defining Workflows

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