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.
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.
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