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) |
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| 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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