The book contains the latest trend in IT industry ‘Big Data 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 Data-ware House Of Hadoop | PIG: The Higher Level Programming Environment | SQOOP: Importing Data From Heterogeneous Sources | Flume, Ozzie, Zookeeper & Big Data Stream Mining. 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.