Ten Mistakes to Avoid When Virtualizing Data – Part 2

In my prior blog post, I revisited mistakes one through five from my November 2008 Virtualization Journal cover article entitled Ten Mistakes to Avoid When Virtualizing Data.  In this post I will address mistakes six through ten and summarize what has changed since 2008.
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A Roadmap for Federal Agency Adoption of Data Virtualization (Part 2)

This is the second of three blog posts that guide federal agencies in the successful adoption of data virtualization to meet numerous critical information challenges. In this blog posts, I will cover step three ina five step approach that agencies can use to drive successful data virtualization adoption.

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A Roadmap for Federal Agency Adoption of Data Virtualization (Part 1)

Federal agencies are under increasing pressure to improve efficiency, share information more readily and execute on ever expanding congressional mandates. 

But this is far easier said than done in IT environments with government-sized volumes, decades of already in place systems and myriad new requirements being layered on top.

This is why federal government IT leaders are adopting data virtualization.

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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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Bloor Group’s Information Oriented Architecture – A Data-centric Take on SOA

The Bloor Group recently released a white paper describing comprehensive reference data architecture.  Called the Information Oriented Architecture or IOA, it is a data-oriented companion to a Service Oriented Architecture (SOA). 

Its purpose is to aid organizations seeking to modernize their information architectures to meet today’s data-centric business requirements.

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What’s in a name? that which we call a rose

In Juliet’s famous scene from Romeo and Juliet, William Shakespeare implies that a name, in this case Montague, means nothing.

So how have we been naming this concept that we now call ‘data virtualization’ over the past ten years?

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Introducing the Enterprise Architecture Track

Let me introduce the Enterprise Architecture track within the Data Virtualization Leadership Blog. 

If you are like me and find enterprise architecture incredibly fascinating, you have come to the right place.

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