Data Management: Page

Data steward role needs some shepherding itself

Consultant David Loshin gives suggestions for building and managing a data stewardship program that can effectively support data governance.

By David Loshin • Sept. 3, 2013

Big data adds new complications for data stewards

In order to accommodate big data and the needs of data scientists, data stewards will need to adjust to a more short-term view of data stewardship.

By Beth Stackpole • Aug. 29, 2013

Data governance tools: Part, but not all, of the governance puzzle

While tools designed for data governance are helpful, organizations must also implement best practices and standard processes to be effective.

By David Loshin • Aug. 20, 2013

Enterprise data quality efforts in good company with MDM, governance

Combining data quality initiatives with master data management and data governance programs can help ensure that data remains accurate and consistent.

By Alan Earls • June 12, 2013

Successful data stewardship framework needs solid plan, firm focus

Stewarding data can be a tough nut to crack: lots of effort for a reward that isn't always apparent. To succeed, strong project management is needed.

By Beth Stackpole • Oct. 31, 2012

Data stewardship program: Quality booster, but a hard step for many

While data stewardship can help improve the quality of corporate data, analysts say there's more talk than action when it comes to adopting the concept.

By Beth Stackpole • Sept. 26, 2012

Make communication, purpose priorities in a data governance program

Data governance can be all bureaucracy and no benefit. To avoid that, managing the process effectively is a must, says consultant Danette McGilvray.

By Craig Stedman • Aug. 20, 2012

Mission impossible? Data governance process takes on ‘big data’

Effective governance can help companies get the most out of their "big data" environments. But at this point, there's no formula for how to do that.

By Roger du Mars, Contributor • Aug. 8, 2012

IBM users reveal five data governance best practices to remember

IBM customers Nationwide Insurance and Cardinal Health reveal five rules of thumb they learned while implementing highly ambitious data governance programs.

By Mark Brunelli • March 28, 2012

Data governance programs expose hills to climb on path to success

IT professionals from Sallie Mae and Fannie Mae offered insight on data governance challenges and tips on how to overcome them in separate sessions at two recent conferences.

By Mark Brunelli • March 9, 2012

Key issues to consider when building a data warehouse

There are numerous issues, both technical and cultural, that organizations need to consider before building a data warehouse. Learn what they are from our data warehousing expert.

By Mark Whitehorn • Oct. 11, 2011

Test of Scheduled Publish August 30 - BizAnalytics

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By Lisa Crispin, Denny Cherry • Sept. 9, 2011

Sallie Mae exec: Meetings, metrics spur data governance best practices

In an interview, Michele Koch discusses the data governance program she leads at Sallie Mae and provides insight on key governance best practices.

By Mark Brunelli • July 29, 2011

Six tips for improving data warehouse performance

Get six expert tips for improving data warehouse performance. Learn how database engines, SSDs and MOLAP cubes can affect your data warehouse performance.

By Mark Whitehorn • May 18, 2011

Disney discovers a whole new world of data warehouse best practices

The director of data warehousing and analytics at Walt Disney Parks and Resorts shares some important BI and data warehouse best practices.

By Mark Brunelli • April 21, 2011

Capacity planning for the data warehouse environment

Capacity planning is essential for all data warehouse environments. Data warehouses grow at high rates and must be managed to keep budgets under control.

By Bill Inmon • March 23, 2011

Starting an Oracle virtualization project

Contributor Frank Ohlhorst gives tips on how to start a server virtualization project in an Oracle shop.

By Frank Ohlhorst • March 14, 2011

Oracle upgrades: Tips and trends

If you’re planning an Oracle upgrade, start here to learn about the latest Oracle upgrade trends. Also, get expert advice from Oracle gurus and learn about the current state of Oracle Fusion Middleware upgrades.

By Shayna Garlick, Associate Editor • Dec. 20, 2010

Creating a database strategy that can adapt to changing business needs

Crafting a successful database strategy requires technology flexibility, the right skill sets and a strong focus on application requirements, according to IT pros and analysts.

By Mark Brunelli • Nov. 26, 2010

Linux DHCP server and client: Configuration and deployment

DHCP offers several benefits that you can't get from storing network configuration information in local files. Learn the best practices for a successful Linux-based DHCP server and DHCP client configuration and deployment.

By Mark Sobell • Nov. 18, 2010

Emerging database technologies hit DBMS mainstream, add to choices

Emerging database technologies such as column-based database software, NoSQL databases and Database as a Service (DaaS) platforms are starting to make a splash in the IT market.

By Mark Brunelli • Nov. 10, 2010

Data governance roles and responsibilities call for diverse skill sets

Learn about data governance roles and responsibilities, and get advice on the management and technical skills that a successful data governance strategy and program requires.

By Gwen Thomas • Nov. 5, 2010

Increase the success of data governance programs from the bottom up

Data governance programs are often overlooked, pushed aside and just plain ignored through a lack of executive interest and funding. But some technology professionals are making the most of the situation.

By Mark Brunelli • Aug. 27, 2010

A nutritional supplement company does Oracle E-Business Suite upgrade

USANA Health Sciences tackled three key business issues when it performed an Oracle E-Business Suite upgrade: third-party integration, employee turnover and new software modules.

By Josh Whitmer, Contributor • Aug. 19, 2010

What is the difference between data definition language (DDL) and SQL?

Learn the difference between a data definition language (DDL), also known as data descriptive language, and the Structured Query Language (SQL). Find examples of both DDL and SQL.

By Mark Whitehorn • Aug. 2, 2010