MapReduce Advanced Course
Comprehensive Mapreduce Training
Updated on Apr, 2024
Language - English
Lectures -30
Resources -2
Duration -5 hours
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Course Description
Through this course we are going to learn about Choosing appropriate Hadoop data types, Implementing a custom Hadoop Writable data type, Implementing a custom Hadoop key type, Emitting data of different value types from a mapper, Choosing a suitable Hadoop Input Format for your input data format, Adding support for new input data formats – implementing a custom Input Format, Formatting the results of MapReduce computations – using Hadoop Output Formats. Next, we focus on the data partitioning, Broadcasting, and distributing shared resources to tasks in a MapReduce job – Hadoop Distributed Cache, Using Hadoop with legacy applications – Hadoop Streaming, Adding dependencies between MapReduce jobs and using Hadoop counters for reporting custom metrics.
Target Audience:
- Analytics Professionals
- Analytics Students
Goals
What will you learn in this course:
- Understand the concepts of MapReduce and find out how it solves the problems
- Learn to develop complex Hadoop MapReduce applications
Prerequisites
What are the prerequisites for this course?
- Basic Computer Knowledge
- Passion to learn
Curriculum
Check out the detailed breakdown of what’s inside the course
Running a MapReduce Program
2 Lectures
-
Running a MapReduce Program
12:09
12:09
-
Running a MapReduce Program Continues
11:03
11:03
Advanced MapReduce
4 Lectures
Advanced MapReduce and PIG
3 Lectures
HIVE and Indexing
3 Lectures
Hadoop Big Data Introduction
4 Lectures
Hadoop Big Data Analytics
14 Lectures
Instructor Details
Corporate Bridge Consultancy Private Limited
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