Big data analytics / Chandramouli Subramanian et al.
Material type:
TextLanguage: English Publication details: Hyderabad : Universal Press Private Limited, 2024.Description: xxix, 1058p. ill., ; 24cmISBN: - 9789393330468 (pbk.)
- 005.7 CHA
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Gulbanoo Premji Library, Azim Premji University, Bengaluru | 1st Floor | 005.7 CHA (Browse shelf(Opens below)) | Available | G56232 |
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| 005.5 PRI Office 2010 for seniors in easy steps : | 005.55 GAU Statistical methods for practice and research : | 005.58 TUF The cognitive style of PowerPoint : | 005.7 CHA Big data analytics / | 005.7 DTE Big data : | 005.7 DTE Big data : | 005.7 DTE Big data : |
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.
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.
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