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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Rearranging Deck Chairs on IT’s Titanic

One Hundred Years Ago Today

On April 12, 1912, the maiden voyage of the seemingly unsinkable RMS Titanic ended in disaster. 

Now, one hundred years later to the day, IT is on course for a similar collision, with similar catastrophic fate. 

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Data Virtualization Roadmap – Part 2

In Part 1 of this series I addressed the wider access and deeper optimizations dimensions of our roadmap.  In Part 2 I will address broader deployments, ease of use and governance.

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Data Virtualization Roadmap – Part 1

At Composite Software, our roadmap for relevant and successful product evolution is driven by collaboration with innovative customers, consideration of key industry trends and the creativity of our engineering organization. 

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Composite + RainStor = Big Data Management Flexibility

Last week Composite and RainStor announced that Composite has added access to RainStor’s Big Data management database to our long list of popular enterprise applications we support including Oracle, SAP, and salesforce.com as well as relational and multi-dimensional data sources from IBM, IBM Netezza, Microsoft, Oracle, SAP BW, SAP Sybase and Teradata.

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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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Is Data Discovery the Answer to the Zettabyte Problem? Part 2

More Data = More Complexity

In my last blog, I described the how massive data growth and complexity have led to a seemingly insurmountable data modeling challenge. Then I described how a product such as Composite Discovery, when fully integrated with the Composite Data Virtualization Platform, can help overcome this challenge.

In this entry, I will describe how Composite Discovery works and why it is beneficial to both business and IT.

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Is Data Discovery the Answer to the Zettabyte Problem? Part 1

Data Data Everywhere! 

IDC’s June 2011 report Extracting Value from Chaos, estimates the amount of information currently stored by the end of 2011 will be 1.8 zettabytes.  That’s 1.8 trillion gigabytes.  IDC believes this data has grown by a factor of nine in the past five years.

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What Is Your Strategy for Responsive Enterprise-wide Data Sharing?

Sharing Data Is Difficult, Yet Important

Large enterprises learned long ago that effective sharing of data across lines of business was a critical success factor. But achieving this objective in large organizations has been especially complex due to:

  • Thousands of information consumers with varied roles and responsibilities;
  • A range of analysis and reporting applications addressing different business problems;
  • Multiple approaches to access, combine, and deliver data to these applications; and
  • Extreme data source volumes, variety, velocity and complexity.

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How Composite 6 Accelerates Performance

Based on over 300 man years of query optimization R&D, the Composite Data Virtualization Platform already offers the highest performance in the data virtualization market.

With Composite 6, we pushed the state-of-the-art in query optimization algorithms and techniques even further.

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