Cloud Databases

Getting Your Network in the Cloud

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Join us with Virtual Newsmakers on Saturday, May 28th at 11:00am for a YouTube Livestream on cloud computing. Virtual Newsmakers is a webcast show featuring virtual newsmakers, who are bridging…

Enterprise Networking in a Cloud World

By G C Network | May 17, 2016

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The Game of Clouds 2016

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10 Ways to Flash Forward

By G C Network | May 7, 2016

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The Future of Storage

By G C Network | April 28, 2016

A few weeks ago I had the pleasure of doing a Blab on advanced storage with Daniel Newman and Eric Vanderburg.  We covered some pretty interesting points on enterprise storage…

DevOps and Hybrid Infrastructure Synergy

By G C Network | April 3, 2016

(This post first appeared in IBM’s Point B and Beyond) The definition of DevOps emphasizes collaboration and communication between software developers and other IT professionals while automating the software delivery…

Are electronic medical records worth it?

By G C Network | March 23, 2016

The use of Electronic Medical Records (EMR) by medical professionals has increased dramatically. According to HealthIT.gov, 2015 statistics show that 56 percent of all U.S. office-based physicians (MD/DO) have demonstrated meaningful use…

Finding a Framework for Hybrid Cloud Risk Management

By G C Network | March 6, 2016

 (Sponsored by IBM. Originally published on Point B and Beyond) Hybrid cloud is rapidly becoming essential to today’s information technology processes. This is why hybrid cloud risk management has become…

Cancer, cloud and privacy shield

By G C Network | February 23, 2016

(Originally published in Dell PowerMore) For more than 10 years, the rapid rise of cloud computing has enabled an even more rapid application of cloud to genomic medicine. In fact,…

Hybrid Cloud Versus Hybrid IT: What’s the Hype?

By G C Network | February 3, 2016

(Originally posted on Point B and Beyond) Once again, the boardroom is in a bitter battle over what edict its members will now levy on their hapless IT organization. On…

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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