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.
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by Jan Bodnar - ZetCode
MySQL is a leading open source database management system. This is MySQL tutorial. It covers the MySQL database, various mysql command line tools and the SQL language covered by the database engine. It is an introductory tutorial for the beginners.
by Mark Pollack, et al. - O'Reilly Media
This book shows you how Spring's data access framework can help you connect to either non-relational or relational databases. You'll learn how Spring Data's model reduces the learning curve for applications with newer data access technologies.
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.
- 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.