TY  - BOOK
AU  - Subramanian, Chandramouli
AU  - George, Asha A 
AU  - Robin, CR Rene 
AU  - Miriam, D Doreen Hephzibah 
AU  - Magdalene, J Jasmine Christina 
TI  - Big data analytics
SN  - 9789393330468 (pbk.)
U1  - 005.7 
PY  - 2024///
CY  - Hyderabad
PB  - Universal Press Private Limited
KW  - Data Analytics
KW  - Hadoop Streaming
KW  - Cassandra Data Model
KW  - Cassandra Architecture
KW  - Hadoop Ingestion
KW  - Database
KW  - MapReduce
KW  - HBase
N1  - Chapter 1 Introduction to Data Analytics --
Chapter 2 Data Analytics Life-cycle  --
Chapter 3 Fundamentals of Big Data  --
Chapter 4 Big Data Analytics Technology  --
Chapter 5 Fundamentals of Hadoop  --
Chapter 6 Hadoop Distributed File System  --
Chapter 7 MapReduce --
Chapter 8 Hadoop Ingestion --
Chapter 9 Hive --
Chapter 10 HBase --
Chapter 11 Hadoop Streaming  --
Chapter 12 Pig Latin  --
Chapter 13 Fundamentals of Spark.
Chapter 14 Introduction to NoSQL Database Concepts  --
Chapter 15 Cassandra Data Model  --
Chapter 16 Cassandra Architecture  --
Chapter 17 MongoDB  --
Chapter 18 Big Data Visualizations  --
Chapter 19 Business Implementation of Big Data  --
Chapter 20 Limitations of Hadoop and Solutions to Overcome Them  --
Chapter 21 Big Data Case Studies
N2  - Big Data Analytics is intended for use as a textbook for third- and fourth-year students of B.E., B.Tech., B.Sc., BCA, MCA, and M.Tech. courses in IT, Software, and Computer Science Engineering. The book has been written to help students who enter the software industry to gain a broad understanding of Big Data and the nuances of handling it to extract useful information. Spread across 21 chapters, it elucidates the concept of Big Data and walks the reader through popular frameworks such as Hadoop, MongoDB, Pig and Hive that are used for processing Big Data. The book will also benefit professionals, at all levels, who seek transition to the software field
ER  -