Big Data and Hadoop- Learn by example

Big Data and Hadoop- Learn by example







The book contains the latest trend in IT industry ‘BigData and Hadoop’. It explain about how big is ‘Big Data’ and why everybody is trying to implement this into their IT project.

It includes research work of various topics, theoretical and practical approach, each component of the architecture is described along with current industry trends.

Big Data and Hadoop taken together are a new skill as per the industry standards. Readers will get a compact book along with the industry experience, and would be a reference to help readers.
KEY FEATURES
Overview Of Big Data, Basics of Hadoop, Hadoop Distributed File System, Hbase, Mapreduce, HIVE : The Dataware House Of Hadoop, PIG : The Higher Level Programming Environment, SQOOP : Importing Data From Heterogeneous Sources, Flume, Ozzie, Zookeeper & Big Data Stream Mining, Chapter-wise Questions & Previous Years Questions.
CONTENTS
Chapter 1: Big Data- Introduction and Demand 
Chapter 2: No SQL Data Management 
Chapter 3: Basics of Hadoop 
Chapter 4: Hadoop Installation (Step-by-Step)  
Chapter 5: MapReduce Applications 
Chapter 6: Hadoop Related Tools-I (Hbase & Cassandra) 
Chapter 7: Hadoop Related Tools -II (PigLatin & HiveQL) 
Chapter 8: Practical & Research based Topics 
Appendix: Hadoop Commands
Chapter wise Questions
Previous Year Question Paper



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