Cloud Databases

From PC Break/Fix to CloudMASTER®

By G C Network | August 29, 2016

https://www.linkedin.com/in/stevendonovan It was late 2011 and Steven Donovan was comfortable working at SHI International Corporation, a growing information technology firm, as a personal computer break/fix technician. His company had been…

Is Data Classification a Bridge Too Far?

By G C Network | August 17, 2016

Today data has replaced money as the global currency for trade. “McKinsey estimates that about 75 percent of the value added by data flows on the Internet accrues to “traditional”…

Vendor Neutral Training: Proven Protection Against Cloud Horror Stories

By G C Network | August 10, 2016

Cloud computing is now entering adolescence.  With all the early adopters now swimming in the cloud pool with that “I told you so” smug, fast followers are just barely beating…

Cognitive Business: When Cloud and Cognitive Computing Merge

By G C Network | July 21, 2016

Cloud computing has taken over the business world! With almost maniacal focus, single proprietors and Board Directors of the world’s largest conglomerates see this new model as a “must do”.…

Government Cloud Achilles Heel: The Network

By G C Network | July 9, 2016

Cloud computing is rewriting the books on information technology (IT) but inter-cloud networking remains a key operational issue. Layering inherently global cloud services on top of a globally fractured networking…

System Integration Morphs To Cloud Service Integration

By G C Network | June 19, 2016

Cloud Service Brokerage is changing from an industry footnote toward becoming a major system integration play.  This role has now become a crucial component of a cloud computing transition because…

Networking the Cloud for IoT – Pt 3 Cloud Network Systems Engineering

By G C Network | June 17, 2016

Dwight Bues & Kevin Jackson (This is Part 3 of a three part series that addresses the need for a systems engineering approach to IoT and cloud network design.  Networking the Cloud for IoT –…

Networking the Cloud for IoT – Pt. 2 Stressing the Cloud

By G C Network | June 12, 2016

Dwight Bues & Kevin Jackson This is Part 2 of a three part series that addresses the need for a systems engineering approach to IoT and cloud network design. Part…

Networking the Cloud for IoT – Pt. 1: IoT and the Government

By G C Network | June 7, 2016

  Dwight Bues & Kevin Jackson This is Part 1 of a three part series that addresses the need for a systems engineering approach to IoT and cloud network design:…

Parallel Processing and Unstructured Data Transforms Storage

By G C Network | May 31, 2016

(This post originally appeared on Direct2Dell, The Official Dell Corporate Blog) Enterprise storage is trending away from traditional, enterprise managed network-attached storage (NAS) and storage area networks (SAN) towards a…

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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