Big data (Record no. 103241)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02363nam a2200181 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978-9352605026 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005 ANI |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Anil Maheswari |
| 245 ## - TITLE STATEMENT | |
| Title | Big data |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New Delhi |
| Name of publisher, distributor, etc. | McGraw Hill |
| Date of publication, distribution, etc. | 2017 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xv, 236p. |
| Other physical details | 24 cm ; Pbk |
| 500 ## - GENERAL NOTE | |
| General note | Gratis Rs.399/- |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Chapter 1. Wholeness of Big Data<br/>Chapter 2. Big Data Sources and Applications<br/>Chapter 3. Big Data Architectures<br/>Chapter 4. Distributed Computing using Hadoop<br/>Chapter 5. Parallel Processing with MapReduce<br/>Chapter 6. NoSQL Databases<br/>Chapter 7. Stream Processing with Spark<br/>Chapter 8. Ingesting Data<br/>Chapter 9. Cloud Computing<br/>Chapter 10. Web Log Analyzer Application Case Study<br/>Chapter 11. Data Mining Primer<br/>Chapter 12 Big Data Programming Primer<br/>Appendix 1 – Installing Hadoop Using Cloudera on Virtual Box<br/>Appendix 2 – Installing Hadoop on Amazon Web Services , Elastic Computing Cluster<br/>Appendix 3 – Spark Installation & Tutorial |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book is written to meet the needs for an introductoryBig Data course. It is meant for students, as well as executives, who wish totake advantage of emerging opportunities in Big Data. It provides an intuitionof 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. Most of the relevant programming details have been moved to Appendicesto ensure readability. The short chapters make it easy to quickly understandthe key concepts. A complete case study of developing a Big Data application isincluded.<br/>1. Provides fun and insightful case-lets from real-world stories at the beginning of every chapter. IMB Watson Case Study, Google Flu<br/>2. Provides a running case study across the chapters as exercises e.g. Google Query Architecture, How Google Search Works.<br/>3. Shows clear learning objectives, review questions, and objective type questions<br/>4. Covers end-to-end data processing chain, from generation of data to the consumption of data<br/>5. Covers important topics like Hive, NoSQL, Data Mining Primer.<br/>6. Dedicated Chapters on Data Mining and Big Data Programming, Appendices on Installation of Hadoop, Spark and Amazon Web Services. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining |
| -- | Big Data |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://www.mheducation.co.in/9789352605026-india-big-data">http://www.mheducation.co.in/9789352605026-india-big-data</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GSB Collection | 13/07/2017 | Gratis | 0.00 | 1 | 005 ANI | B2438 | 23/10/2017 | 20/09/2017 | 13/07/2017 | Books |