Description
Khanna Publishing House Big Data & Hadoop 1St Edition 2017 by VK Jain
This book introduces you to the Big Data processing techniques addressing but not limited to various BI (business intelligence) requirements, such as reporting, batch analytics, online analytical processing (OLAP), data mining and Warehousing, and predictive analytics.The book has been written on IBMs Platformof Hadoop framework. IBM Infosphere 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. This therefore becomes highly vulnerable coaching materials in easy to learn steps.The book optimally provides the courseware as per MCA and M. Tech Level Syllabi of most of the Universities.All components of big Data Platform like Jaql, Hive Pig, Sqoop, Flume, Hadoop Streaming, Oozie: HBase, HDFS, FumeNG,Whirr, Cloundera, Fuse, Zookeeper and Mahout: Machine learning for Hadoop has been discussed in sufficient Detail with hands on Exercises on each.Chapter 1: OVERVIEW OF BIG DATAChapter 2: BASICS OF HADOOPChapter 3: IBM'S INFOSPHERE BIGINSIGHTSChapter 4: HADOOP DISTRIBUTED FILE SYSTEMChapter 5: NO SQL DATA MANAGEMENT AND MONGODBChapter 6: HBASE AND CASSENDRAChapter 7: MAPREDUCEChapter 8: JAQL : JSON BASED QUERY LANGUAGEChapter 9: HIVE : THE DATA WARE HOUSE OF HADOOPChapter 10: PIG : THE HIGHER LEVEL PROGRAMMING ENVIRONMENTChapter 11: BIGSHEETS SPREADSHEET LIKE ENVIRONMENT Chapter 12: BIGSHEETS WORKBOOKSChapter 13: SQOOP : IMPORTING DATA FROM HETEROGENEOUS SOURCESChapter 14: DATA STREAM MININGChapter 15: FLUME: BIG DATA REALTIME STREAMINGChapter 16: R PROGRAMMING : A STRONG VISUALIZATION AND GRAPHICS TOOLChapter 17: OTHER COMPONENTS OF HADOOP : OZZIE,ZOOKEEPER AND MAHOUT