Big Data and Hadoop English 2015

This book introduces The big data processing techniques addressing but not limited to various BI requirements, such as reporting, batch analytics, OLAP, data mining and warehousing and predictive analytics. The book has been written on ibms platform of Hadoop framework. Ibm info sphere big insight has The highest amount of tutorial matter available free of cost on internet which makes it easy to acquire proficiency in This technique. table of content1 - overview of big Data2 - basics of hadoop3 - IBM's infosphere biginsights4 - Hadoop distributed file System5 - no SQL data management and mongodb6 - base and cassendra7 - mapreduce8 - jaql - JSON based query language - Hive - The data Ware house of hadoop10 - pig - The higher level programming environments - big sheets spreadsheet like environment 12 - big sheets workbooks13 - sqoop - importing data from heterogeneous sources14 - data stream mining15 - Flume big data real time streaming16 - R programming a strong visualization and graphics tool17 - other components of Hadoop - ozzie, ZooKeeper and Mahout.