Cloud Databases

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According to the National Institute of Standards and Technology: “Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers,…

John Mayer At Dell World 2015!! (Oh, I’ll be there too.)

By G C Network | September 30, 2015

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Data-centric Security: The New Must Have

By G C Network | September 23, 2015

Where is your data right now? The explosion of cloud computing and consumer IT means that your data, as well as data about you, can be virtually anywhere.Having your data and the…

Personal email:Pathway to Cybersecurity Breaches

By G C Network | September 14, 2015

As a business communications tool, email is the dominant option, and many corporations have policies that allow the use of personal email on corporate computers. In a recent Adobe Systems…

IEEE Cloud Computing: Legal Clouds

By G C Network | September 11, 2015

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Cloud hosting: Look beyond cost savings and weigh pros, cons

By G C Network | September 3, 2015

Is your company struggling with the idea of using “cloud hosting” in order to save money? Truth be known, using cost savings as the primary reason for moving to cloud…

“Cloud First” Lessons Learned from ViON

By G C Network | August 25, 2015

In 2011, then United States CIO Vivek Kundra released the US Federal Cloud Computing Strategy [1]. In the executive summary he pointed to cloud computing as a key component of…

Looking for Security Peak Performance?

By G C Network | August 19, 2015

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The Cybersecurity Sprint: Are we safe yet?

By G C Network | August 7, 2015

UPDATE: NBC News reports U.S. officials have disclosed a hack of the Pentagon’s Joint Staff unclassified email system, which took place on July 25. Recent unauthorized access to a U.S. government database…

Cloud Computing + Things = “Information Excellence”, Not IoT

By G C Network | July 31, 2015

The Internet of Things (IoT) has quickly become the next “be all to end all” in information technology. Touted as how cloud computing will connect everyday things together, it is…

Joab Jackson, in his “Cloud computing leaving relational databases behind” article, makes some pretty interesting points on the incompatibility of relational databases with cloud-based infrastructures. He first list the various cloud optimized databases:

And then notes that they all have cloud computing-specific characteristics.

  • They can be run in distributed environments,
  • None of them are transactional in nature, and
  • They all sacrifice some advanced querying capability for faster performance.

Since the national security community literally lives and dies by the information in their relational databases, what does that mean if the community adopts cloud technology in order to benefit from the scalability and economy?

The key issue here is that in cloud implementations, database material is spread across different locations. Executing complex queries with relational databases across vast geographic distances can slow response time. It is also difficult to design and maintain an architecture to replicate relational data across different locations and keep that data in sync if one location goes down.

Since cloud implementations are seemingly the wave of the future, community CIO’s and analyst alike need to start thinking about the implications of the coming transition from relational databases today.

Follow me at https://Twitter.com/Kevin_Jackson

G C Network

3 Comments

  1. Randall on October 7, 2008 at 10:30 am

    I don’t know Kevin, I think relational db’s will be around for a long time.

    You know when we start thinking in the cloud, we think every cloud computing application is going to have millions of users so can’t use a relational database, but there are lots and lots of problems that relational databases solve — in the cloud — very easily.

    And there are some very scalable websites built on top of relational databases.



  2. James Urquhart on October 8, 2008 at 5:03 pm

    I second Randall’s comment. If your database is focused on complex set-based analytics, then stick to a relational database. If you need to map the results of that analytics to a large audience, replicate results from the relational query results to either static pages or perhaps a Map-Reduce based data store. It doesn’t have to be a “paradigm shift” in any way shape or form.



  3. Anonymous on April 30, 2009 at 1:53 am

    ^^Thanks!!

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