Big Data
Material type:
TextPublication details: Chennai McGrawHill 2017Description: 273pISBN: 9789353167950Subject(s): Data mining Computer data management Data modelingDDC classification: 005.74 Summary: This book is meant for students, as well as executives, who wish to take advantage of emerging opportunities in Big Data. It provides an intuition of the wholeness of the field in a simple language, free from jargon and code. All the essential Big Data technology tools and platforms such as Hadoop, MapReduce, Spark, and NoSql are discussed. The short chapters make it easy to quickly understand the key concepts. A complete case study of developing a Big Data application is included.
Salient Features:
- Provides fun and insightful case-lets from real-world stories at the beginning of every chapter. For example IMB Watson Case Study, Google Flu
- Provides a running case study across the chapters as exercises e.g. Google Query Architecture, How Google Search Works
- Dedicated Chapters on Data Mining and Big Data Programming, Appendices on Installation of Hadoop, Spark and Amazon Web Services
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
BK
|
Stack | 005.74 ANI/B (Browse shelf (Opens below)) | Available | 51466 |
This book is meant for students, as well as executives, who wish to take advantage of emerging opportunities in Big Data. It provides an intuition of the wholeness of the field in a simple language, free from jargon and code. All the essential Big Data technology tools and platforms such as Hadoop, MapReduce, Spark, and NoSql are discussed. The short chapters make it easy to quickly understand the key concepts. A complete case study of developing a Big Data application is included.
Salient Features:
- Provides fun and insightful case-lets from real-world stories at the beginning of every chapter. For example IMB Watson Case Study, Google Flu
- Provides a running case study across the chapters as exercises e.g. Google Query Architecture, How Google Search Works
- Dedicated Chapters on Data Mining and Big Data Programming, Appendices on Installation of Hadoop, Spark and Amazon Web Services
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