MapReduce and YARN
About the course
String together your understanding of Yet Another Resource Negotiator (YARN) by gaining exposure to MapReduce1, the tool-sets that start the processing of Big Data.Hadoop Programming
ABOUT THIS LEARNING PATH
They say that it is not the destination but the journey that got you there that matters. When you have completed this learning path, concepts such as how parallelism is performed on a cluster will be second nature. Your awareness of how to program, either using high-level or low-level languages will be highlights along the way. This learning path incorporates MapReduce and YARN, an introduction to Apache Pig, and simplifying data pipelines with Apache Kafka. Come along and start your journey to receiving the following badges: Hadoop Programming – Level 1 and Hadoop Programming – Level 2.
TELL YOUR FRIENDS
AUDIENCE:
Data Engineers, Data programmers
LEARNING PATH LEVEL:
Beginner
3 BADGES
3 COURSES
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Apache Pig 101
About the course
Pig was initially developed at Yahoo! to allow people using Hadoop® to focus more on analyzing large data sets and spend less time having to write mapper and reducer programs. Like actual pigs, who eat almost anything, the Pig programming language is designed to handle any kind of data—hence the name!
Simplifying data pipelines with Apache Kafka
About the course
When you hear the terms, producer, consumer, topic category, broker, and cluster used together to describe a messaging system, something is brewing in the pipelines. Get connected and learn what that is, and what it means!Complete the Hadoop Programming Learning path
Hadoop Programming – Level 2
Our learning paths are designed to build on the content learned in the first course and then build upon the concepts in courses that follow. We recommend that they are completed in the order outlined in this learning path to ensure you get the most out of your investment of time. If you like what you see here, come and discover other learning paths and browse our course catalog.