HORTONWORKS DATA PLATFORM (HDP®) DEVELOPER: JAVA

Course details

HORTONWORKS DATA PLATFORM (HDP) DEVELOPER: JAVA TRAINING
 
//This course provides Java programmers a deep-dive into Hadoop application development. Students 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 cluster running in a virtual machine that students can keep for use after the ;
 
PREREQUISITES
Students must have experience developing Java applications and using a Java IDE. Labs are completed using the Eclipse IDE and Gradle. No prior Hadoop knowledge is required.

TARGET AUDIENCE

Experienced Java software engineers who need to develop Java MapReduce applications for ;
 
FORMAT

50% Lecture/Discussion
50% Hands-0n Labs

AGENDA SUMMARY

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

Day 2: Partitioning, Sorting and Input/Output Formats

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

Day 4: Pig and Hive Programming, Defining Workflows  Updated on 17 April, 2018