The combiner class

The partitioner class

Examining a sample MapReduce program with several examples

Hadoop's Streaming API

Hands-On:

Learn about writing MR job from scratch, writing different logics in mapper and reducer, and submitting the MR job in standalone and distributed mode
Also learn about writing word count MR job, calculating average salary of the employee who meets certain conditions and sales calculation using MR Hadoop ecosystems

58:{"id":21160,"heading":"Hadoop Developer Tasks","subheadings":"$59"} 5a:{"id":21161,"heading":"Pig","subheadings":"

Learning objective:

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Understand the importance of PIG in the Big Data world, PIG architecture, and Pig Latin commands for doing different complex operations on relations, and also PIG UDF and aggregation functions with piggy bank library. Learn how to pass dynamic arguments to PIG scripts.

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Topics

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PIG concepts
Install and configure PIG on a cluster
PIG Vs MapReduce and SQL
Write sample PIG Latin scripts
Modes of running PIG
PIG UDFs

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Hands-On:

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Login to Pig grunt shell to issue PIG Latin commands in different execution modes
Different ways of loading and transformation on PIG relations lazily. Registering UDF in grunt shell and perform replicated join operations

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\n"} 5c:T424,

Learning objective:

Understand the importance of Hive in the Big Data world. Different ways of configuring Hive megastore. Learn different types of tables in the hive. Learn how to optimize hive jobs using partitioning and bucketing and passing dynamic arguments to hive scripts. You will get an understanding of Joins, UDFS, Views, etc.

Topics:

HIVE concepts
HIVE architecture
Installing and configuring HIVE
Managed tables and exte

Big Data, Hadoop, & Spark Certification Training