Hadoop Yarn: Extending Beyond MapReduce | Hadoop Tutorial for Beginners

Watch Sample Class Recording:
http://www.edureka.co/big-data-and-hadoop?utm_source=youtube&utm_medium=referral&utm_campaign=hadoop-yarn

Big data is an all-encompassing term for any collection of data sets so large and complex that it becomes difficult to process using traditional data processing applications.The challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. With Hadoop,
no data is too big.

MapReduce is a software framework that allows developers to write programs that process massive amounts of unstructured data in parallel across a distributed
cluster of processors or stand-alone computers

The Topics covered in the video are:

1.hadoop 2.0 New Features
2.Namenode High Availability
3.Job Tracker
4.Task Tracker
5.Yarn - Processing Control and Multi-tendency
6.Hadoop 2.0 Cluster Architecture - Federation
7.YARN and Hadoop Ecosystem
8.YARn- Moving beyond MapReduce
9.Multi-tendency - Capacity Scheduler
10.YARN MR Aplication Execution Flow
11.Hadoop 2.0 - YARN
12.Hadoop 2.0 - YARN Workflow


Related Blog Posts:
http://www.edureka.co/blog/introduction-to-big-data-n-hadoop/?utm_source=youtube&utm_medium=referral&utm_campaign=hadoop-yarn

http://www.edureka.co/blog/why-learn-hadoop/?utm_source=youtube&utm_medium=referral&utm_campaign=hadoop-yarn

http://www.edureka.co/blog/big-data-applications-sears-case-study/?utm_source=youtube&utm_medium=referral&utm_campaign=hadoop-yarn

Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning
environment, accessible from any part of the world.

All topics related to ‘Hadoop Yarn’ have extensively been covered in our course ‘Big Data and Hadoop’.
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