Big Data & Hadoop
- New Delhi Khanna Book Publishing Co (P) Ltd. 2019
- 638
Contents : Chapter 1: OVERVIEW OF BIG DATA Chapter 2: BASICS OF HADOOP Chapter 3: IBM'S INFOSPHERE BIGINSIGHTS Chapter 4: HADOOP DISTRIBUTED FILE SYSTEM Chapter 5: NO SQL DATA MANAGEMENT AND MONGODB Chapter 6: HBASE AND CASSENDRA Chapter 7: MAPREDUCE Chapter 8: JAQL : JSON BASED QUERY LANGUAGE Chapter 9: HIVE : THE DATA WARE HOUSE OF HADOOP Chapter 10: PIG : THE HIGHER LEVEL PROGRAMMING ENVIRONMENT Chapter 11: BIGSHEETS SPREADSHEET LIKE ENVIRONMENT Chapter 12: BIGSHEETS WORKBOOKS Chapter 13: SQOOP : IMPORTING DATA FROM HETEROGENEOUS SOURCES Chapter 14: DATA STREAM MINING Chapter 15: FLUME: BIG DATA REALTIME STREAMING Chapter 16: R PROGRAMMING : A STRONG VISUALIZATION AND GRAPHICS TOOL Chapter 17: OTHER COMPONENTS OF HADOOP : OZZIE,ZOOKEEPER AND MAHOUT