• 10 essential performance tips for MySQL

  As with all relational databases, MySQL can prove to be a complicated beast, one that can crawl to a halt at a moment's notice, leaving your applications in the lurch and your business on the line.

• Master MySQL in the Amazon cloud

  For many MySQL database admins, Amazon Web Services represents the brave new world of cloud computing -- one fraught with disappearing servers, disk I/O variability, and other shared resource challenges, not to mention questions regarding the security of data.

• Oracle's Mark Hurd spells out analytics vision

  Oracle has rolled out a series of announcements aimed at portraying itself as the industry's dominant player in business analytics, as well as one relevant to customers of rival SAP.

• IBM releases DB2 version 10, the first big upgrade in four years

  Sensing a change in the way customers store and analyze data, IBM has updated its flagship DB2 relational database management software to handle a wider range of data processing duties. The company has also updated its InfoSphere data warehouse software.

• Apache promotes Sqoop as Top Level Project

  As more organizations deploy Hadoop to analyze vast reams of information, they may find they need to transfer large amounts of data between Hadoop and their existing databases, data warehouses and other data stores. Now the volunteer developers behind a new connector designed to speed this data exchange have gotten the full support from the Apache Software Foundation (ASF).

• The big promise of big data

  For Twitter, making sense of its mountains of user data was big enough of a problem that it purchased another company just to help get the job done.

Whitepapers about data management

• 

  Seven Steps to Effective Data Governance

  Creating a framework to ensure the confidentiality, quality, and integrity of data – the core meaning of data governance – is essential to meet both internal and external requirements, such as financial reporting, regulatory compliance, and privacy policies. At its best, data governance roots out risk – both business and compliance risk – by increasing oversight. This white paper provides seven steps for taking such an approach, concluding with a real world example, taking an incremental approach using a repeatable framework that is a practical, proven strategy that any size organization can implement to suit their immediate and long-term needs and budget.

• 

  Optimizing Data Quality in the Enterprise - How to Tackle Your Bad Information

• 

  INFORMATION FOR SUCCESS - Customers Achieve Extreme Performance at Lowest Cost with Oracle Exadata Database Machine

• 

  Process-Driven Master Data Management for Dummies