Data Virtualization: Thinking Outside the Bowl

Data Virtualization: Thinking Outside the Bowl

Across all vertical markets, organizations adopt data virtualization as a core part of their IT infrastructure because data is becoming more distributed, more heterogeneous, and larger in volume. The pressures on business to be more competitive are continually growing, so…

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Data Services Layers: The Buzz (Word) Killer

Data Services Layers: The Buzz (Word) Killer

In all of my conversations about data, the same words and phrases keep coming up – agility, performance, security, governance, the heterogeneity of data sources (data silos), and ease of access, just to name a few. I use them so…

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Rethinking the Data Lake with Data Virtualization

Architecting a Virtual Data Lake

In the previous article we reviewed some of the pros and cons behind the data lake ideas, as well as the reasons why a logical architecture like the virtual data lake addresses some of those issues. In this section, we…

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