2014
Udemy
Eduonix Learning Solutions
15+ hours
English

Modern companies estimate that only 12% of their accumulated data is analyzed, and IT professionals who are able to work with the remaining data are becoming increasingly valuable to companies. Big data talent requests are also up 40% in the past year.
Simply put, there is too much data and not enough professionals to manage and analyze it. This course aims to close the gap by covering MapReduce and its most popular implementation: Apache Hadoop. We will also cover Hadoop ecosystems and the practical concepts involved in handling very large data sets.

01 Introduction to Big Data
02 Hadoop Architecture
03 Distributed file systems
04 Mapreduce Version 1
05 Mapreduce with Hive Data warehousing
06 Mapreduce with Pig Parallel processing
07 The Hadoop Ecosystem
08 Mapreduce Version 2
09 Putting it all together

www.udemy.com/learn-hadoop-mapreduce-and-bigdata-from-scratch/

Download File Size:2.66 GB

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