- December 22, 2011
The sprawling Tejon Ranch in California worked with IBM, Oracle and Iron Mountain to rustle up a robust database and records management system.
- December 19, 2011
Acquisitions and product additions by the top vendors are making customer master data management software choices harder for users, Gartner says.
- December 15, 2011
LinkShare’s BI director says the need for scalability was a key factor in moving the affiliate marketing company’s data warehouse to Oracle Exadata.
- December 08, 2011
IT officials at Web intelligence firm comScore Inc. explain why they switched to a new Hadoop distribution for managing its vast pool of online data.
- December 06, 2011
A growing number of companies plan to implement data governance programs within the next year, according to our recent reader survey. Get tips on making the case for your own governance project.
Sponsored by SAS Institute Inc. - By using the SAS Marketing Automation solution, Hana Tour Group could launch more effective campaigns and see clear results from its customized marketing. See More
Sponsored by SAS Institute Inc. - You’re getting started with a big data analytics project on Hadoop and are impressed by the cost savings on storage compared with your data warehouse. You’ve read that TrueCar, a company that collects vast volumes of car price data for its online car-buying business, has cut its monthly data storage cost from $19/GB to $0.23/GB. So you’re wondering, should you consider moving all your business intelligence efforts to Hadoop? See More
Sponsored by SAS Institute Inc. - With streaming analytics you can solve business problems in new ways and seize new revenue opportunities. You can reduce costs and increase efficiency while improving the safety of employees and the security of assets and intellectual property. See More
Sponsored by SAS Institute Inc. - You want to get started with a big data project at your company, but you're unfamiliar with Hadoop and you're unsure your project will deliver value. Relax. Many organizations are struggling to implement Hadoop for a variety of reasons. In "The Current State of Hadoop in the Enterprise," by the International Institute for Analytics and sponsored by SAS, you'll find a handy list of five steps to maximize the value of a Hadoop big data project for your organization. See More
- November 30, 2011
The director of information governance for IBM’s software group, Sunil Soares, explains how to make the business case for data governance despite ongoing economic concerns.
- November 16, 2011
"Big data" is creating new questions and challenges for IT and data management pros. We're here to help, with articles offering expert advice on big-data management best practices and pitfalls.
- November 10, 2011
The data integration market is growing as users seek to cope with a slew of data management challenges, according to a Gartner Magic Quadrant report.
- November 07, 2011
The Weather Channel is turning to open source master data management tools to gain a clearer view of its data on advertising customers and products.
- November 02, 2011
Composite Software's Robert Eve talks about his new book, which delves into 10 data virtualization software case studies.
- October 28, 2011
In a Q&A, the CTO of UMass Medical School affiliate UHealthSolutions Inc. discusses the company's development of a standardized data warehousing and analytics system for patient data.
- October 27, 2011
The changing role of the data warehouse and other trends in data management are shaping the future of data virtualization technology, according to Composite Software CTO David Besemer.
- October 26, 2011
IBM intends to offer NoSQL database capabilities inside of DB2 beginning early next year, according to a keynote speaker at IBM Information On Demand 2011.
- October 25, 2011
Many organizations are eyeing Hadoop, MapReduce and NoSQL databases for managing "big data." But there are issues to consider before using those technologies in place of a traditional data warehouse.
- October 25, 2011
The growing volumes of "big data" that organizations are looking to store pose a variety of potential problems and issues for data warehousing teams.