Understanding Big Data
by Chris Eaton, et al.
Publisher: McGraw-Hill 2012
Number of pages: 166
Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform.
This document is no more available for free.
by Lars George - O'Reilly Media
If you are looking for a solution to accommodate a virtually endless amount of data, this book will show you how Apache HBase can fulfill your needs. HBase scales to billions of rows and columns, while ensuring that performance remain constant.
by Matthew North - Global Text Project
In this book, professor Matt North uses simple examples, clear explanations and free, powerful, easy-to-use software to teach you the basics of data mining; techniques that can help you answer some of your toughest business questions.
- IBM Redbooks
The book provides lots of information for developers, including code samples for creating PHP applications with DB2, Informix Dynamic Server, and Cloudscape. We use the latest PHP data access extensions including: PHP Data Objects and ibm_db2.
by J. C. Anderson, J. Lehnardt, N. Slater - O'Reilly Media
CouchDB's creators show you how to use this document-oriented database as a standalone application framework or with high-volume, distributed applications. CouchDB is ideal for web applications that handle huge amounts of loosely structured data.