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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.What is Big Data
2.Why Learn Hadoop
3.Big Data Explained
4.Unstructured Data
5.Big Data Challenges
6.Why Move to Hadoop
7.Why Hadoop
8.Hadoop And Job Oppurtunity
9.Hadoop is in demand
10.Hadoop for Big Data
11.Hadoop Eco-System
12.Hadoop and MapReduce
13.Hadoop 2.0 Much more is possible

Related Blog Posts:
http://www.edureka.co/blog/introducti...

http://www.edureka.co/blog/why-learn-...

http://www.edureka.co/blog/big-data-a...

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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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