Applying basic analytics is restricted to human scale activities and direction. Unfortunately traditional analytics tools are not well suited to capture the valuable information hidden in Big Data.The volume of data is too large for comprehensive analysis. The range of potential correlations and relationships between disparate data sources, from back end customer databases to live web based click streams, are too great for any analyst to test all hypotheses and derive all the value buried in the data.
The objective of this workshop is to provide a practical exposure to the participants about Hadoop Frame work and insight into the Big Data and its tools.
PROGRAMME CONTENTS
 Introduction to Big Data Analytics
 Hadoop Frame Work
 Map reduce Programming
 NoSQL, HDFS
 Pig, Hive, Hbase
 MongoDB
 Cassandra
 Beyond Hadoop
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