Data Management Strategies for the CIOEmail Alerts
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dimension table
A dimension table is a table in a star schema of a data warehouse. A dimension table stores attributes, or dimensions, that describe the objects in a fact table.Definition
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OLAP cube
An OLAP cube is a multidimensional database that is optimized for data warehouse and online analytical processing (OLAP) applications.Definition
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Strata Conference speaker reveals three traits of a data-driven CEO
To succeed in the big-data era, CEOs need to get involved in managing data in order to help their companies take full advantage of that critical "raw material," says consultant Diego Saenz.News | 01 Mar 2012
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Top six data management software stories of 2011
From the rise of "big data" to office politics hampering MDM projects to Hewlett-Packard giving Neoview the ax, and more, there were plenty of notable data management stories in 2011.Photo Story
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Top six data management software stories of 2011
From the rise of "big data" to office politics hampering MDM projects to HP giving Neoview the ax, and more, there were plenty of notable data management stories in 2011.Photo story
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Entity resolution trends: Identity resolution in information hubs
guide
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The top five data management mishaps of 2011
Some of last year's biggest information management mess-ups could have been avoided through closer adherence to best practices, according to experts.News | 13 Jan 2012
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Creating an enterprise data strategy: Manage your data as an asset
In a BeyeNetwork.com research report, TechTarget’s Wayne Eckerson details the key elements of an enterprise data strategy, starting with executive buy-in to the idea that data is a corporate asset.Report | 29 Nov 2011
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From the Editors: Advice to help conquer your 'big data' challenges
"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.From the Editor | 16 Nov 2011
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Bank of America exec touts the value of real-time data processing
Businesses need to lose the "batch mentality" and focus instead on real-time data processing, according to one Bank of America IT executive.News | 20 Oct 2011
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chief data officer (CDO)
A chief data officer (CDO) is a C-level corporate executive responsible for an organization's data management and data mining. The position is related to, but separate from, the job of the chief information officer (CIO).Definition
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Strata Conference speaker reveals three traits of a data-driven CEO
To succeed in the big-data era, CEOs need to get involved in managing data in order to help their companies take full advantage of that critical "raw material," says consultant Diego Saenz.News | 01 Mar 2012
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Data scientists dig open source tools, transaction data
Michael Driscoll, the chief technology officer of Metamarkets, discusses the data scientist’s relationship with transaction data and open source tools such as R, Mahout and Hadoop.Q&A | 28 Sep 2011
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Google’s chief economist examines the data scientist factor
Hal Varian, Google’s chief economist, talks about the emerging role of the data scientist -- both the trade and the tools.Q&A | 28 Sep 2011
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In an age of predictive analytics, data scientists help bridge the gap
Michael Driscoll, the chief technology officer of Metamarkets, talks about how data scientists are using predictive analytics to shed light on the future.Q&A | 26 Sep 2011
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data scientist
A data scientist is a job title for an employee or business intelligence (BI) consultant who excels at analyzing data, particularly large amounts of data, to help a business gain a competitive edge. Definition
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New technologies mean changing roles for data management professionals
Data management professionals need to evolve their skill sets to survive the ever-changing IT landscape, according to consultant Laura Reeves.News | 16 Jun 2011
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Business intelligence for finance: which tools do I need to learn?
If you're starting a career in business intelligence (BI), find out what BI tool is most important to learn for business intelligence (BI) for finance – BusinessObjects or SAS.Ask the Expert
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How to find jobs in business intelligence at your current company
In this Q/A, find out why the best way for people to score jobs in business intelligence (BI) is through their current company and how to start a new career in BI.Ask the Expert
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What are the best business intelligence training courses?
What is the best type of business intelligence (BI) training courses — video-based training or hands-on practice? Get an expert's input and start training for your BI career.Ask the Expert
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New technologies mean changing roles for data management professionals
Data management professionals need to evolve their skill sets to survive the ever-changing IT landscape, according to consultant Laura Reeves.News | 16 Jun 2011
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Leveraging today’s cloud data management technology and tools
Learn about cloud data management, including how to decide if a cloud database or SaaS data quality and cloud data integration tools are a good fit for your organization.Podcast
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New technologies, techniques for on-premise and SaaS data integration
Thinking about choosing SaaS data integration software over on-premise technology? Learn about each data integration approach and get tips on choosing a SaaS data integration tool.Podcast
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Four common data integration issues and challenges
Embarking on a data integration project? Make sure you know common data integration issues and challenges before beginning your next integration implementation.Ask the Expert
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Tactical data quality projects deliver quick ROI
Tactical data quality projects can show quick ROI and have a definite impact on the bottom line. Get advice for deploying tactical data quality projects from Forrester's Rob Karel.Podcasts
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Tips for managing a data management team
Managing a data management team is just as important as managing the underlying technology. Get tips for managing data management staff from Baseline Consulting's Dave Gilbert.Podcasts
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Tips for a master data management (MDM) requirements gathering process
Embarking on a master data management (MDM) project? Get an expert's tips for the MDM requirements gathering process and ensure MDM implementation success.Podcast
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Evaluating and selecting a master data management (MDM) vendor
Learn how to compare and select a master data management (MDM) vendor. Hear about common MDM mistakes, how to write a streamlined vendor request for proposal (RFP) and how to evaluate customer reference letters.Podcast
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Data warehouse architecture: Beyond hub-and-spoke
Hear a hub-and-spoke definition and learn about challenges surrounding hub-and-spoke architecture. Know all the issues and details before implementing a hub-and-spoke design and hear how data governance plays a role in the hub-and-spoke model.Podcast
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Best practices for data management system implementations
Find data management system implementations best practices in this podcast, including how to design an implementation plan and get advice from a project management expert on how to be successful with an implementation.Podcast
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