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 Jacek Laskowski - GitBook
This collections of notes (what some may rashly call a 'book') serves as the ultimate place of mine to collect all the nuts and bolts of using Apache Spark. The notes aim to help me designing and developing better products with Apache Spark.
by Karl Seguin - openmymind.net
Redis represents a simplification in the way we deal with data. It peels away much of the complexity and abstraction available in other systems. The goal of this book is to build the foundation you'll need to master Redis.
by John Sharp, et al. - Microsoft Press
The key to designing a successful application is to understand which databases best meet the needs of the various parts of the system, and how to combine these databases into a single solution. This guide helps you understand these challenges...
- 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.