Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/520| Title: | Apache Spark for Data Science Cookbook |
| Other Titles: | Over insightful 90 recipes to get lightning-fast analytics with Apache Spark |
| Authors: | Chitturi, Padma Priya |
| Keywords: | Apache Spark for Data Science Cookbook |
| Issue Date: | Dec-2016 |
| Publisher: | Packt Publishing |
| Series/Report no.: | 1161216; |
| Abstract: | In recent years, the volume of data being collected, stored, and analyzed has exploded, in particular in relation to the activity on the Web and mobile devices, as well as data from the physical world collected via sensor networks. While previously large-scale data storage, processing, analysis, and modeling was the domain of the largest institutions such as Google, Yahoo!, Facebook, and Twitter, increasingly, many organizations are being faced with the challenge of how to handle a massive amount of data. |
| URI: | http://hdl.handle.net/123456789/520 |
| ISBN: | 978-1-78588-010-0 |
| Appears in Collections: | E-Books |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Apache Spark for Data Science Cookbook.pdf | 4.63 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
