Archiving with Big Data = Better Business Results

Business Value from Mixing Current and Historical Data

Historical data is now an essential tool for businesses as they struggle to meet increasingly stringent regulatory requirements, manage risk and perform predictive analytics that help improve business decisions.And while recent data may be available in from operational systems and some summarized historical data available in the data warehouse, the traditional practice of archiving older, detail-level data offsite on tape makes business analytics challenging, if not impossible, because the historical information needed is simply unavailable.

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Can Data Virtualization Address the Data Integration Bottleneck?

We all understand the business value of BI and analytics as enablers for growth, a means to attract and retain customers, or a way to drive innovation and reduce costs.

CIOs do as well. Both Gartner’s Amplifying the Enterprise: The 2012 CIO Agenda and IBM’s Global CIO Study 2011 place BI and analytics atop CIO’s technology priorities.

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Data Virtualization’s Logical Role in the Logical Data Warehouse

I have been closely following Gartner’s Logical Data Warehouse (LDW) strategy for the past year and a half.

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TDWI’s Data Virtualization Class A Big Hit

I left for vacation right after attending Dave Wells’ Data Virtualization Class at TWDI in San Diego on August 1st, so I hadn’t had the chance to comment on the new course. It’s been a couple of weeks, but I still have positive vibes from the class, as did many of the attendees.

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It’s Logical: New Report on the Logical Data Warehouse

Last month, Gartner analysts Mark A. Beyer and Roxane Edjali published Understanding the Logical Data Warehouse: The Emerging Practice. This is the most recent published research on the logical data warehouse that has been forming since Gartner analysts noted the rising significance of big data and data virtualization back in 2008.

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TDWI Goes for Data Virtualization

You know times are changing if you see The Data Warehouse Institute (TDWI) offer a class that involves anything ‘virtual.’ But the data warehouse has been evolving, and today and tomorrow’s DW is not your father’s DW anymore. 

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The Role of Data Virtualization in a World of Big Data

If you are reading this blog entry, you certainly are aware of the rising importance of data virtualization as a key enabler for BI agility, IT cost savings and more.

Big data is an ever bigger trend, solving new classes of business problems with new types of analytics that leverage today’s unprecedented data volumes , varieties and velocities.

How do these trends intercept? And what are the consequences for the business and IT?

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Is it time to Embrace a Hybrid Data Ecosystem?

From a data management strategy point of view, we all understand the critical importance of the enterprise data warehouse. Yet new business imperatives and new technologies have significantly changed the data management landscape, hereafter changing the role of the EDW.

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Data Virtualization Is Hot at the Gartner BI Summit

A Fantastic, Immersive Opportunity

Last week I attended the Gartner BI Summit in Los Angeles.  While I am an avid follower of Gartner’s Information Management, Analytics and BI research, it was great to hear this content directly from the analysts and gauge the reaction of the thousand plus attendees.

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What is Your Strategy for Data Virtualization?

Five Popular Data Virtualization Usage Patterns

Data virtualization is a versatile data integration solution that can be deployed to solve a wide range of data integration challenges.  Based on nearly ten years of successful implementations, several common usage patterns have emerged to help guide your enterprise’s data virtualization adoption strategy.

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