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Leading Federal Integrators Address Tactical Cloud Computing
Yesterday during the first annual Government IT Conference and Expo, tactical cloud computing was cited as a critical component within this new paradigm. Joining me to address the issue were:…
Carpathia Creates Government Solutions Business Unit
In a strong statement of focus, Carpathia Hosting has announced the formation of Carpathia Government Solutions, a unit dedicated to providing solutions specifically for federal civilian and defense agencies. This…
INPUT FedFocus 2010
Please join me at the 7th Annual FedFocus Conference, November 5, 2009, at the Ritz Carlton in McLean, VA. This conference has been designed to provide crucial information on upcoming…
Dataline, Lockheed Martin, SAIC, Unisys on Tactical Cloud Computing
I’m proud to announce that representatives from Lockheed Martin, SAIC, and Unisys will join me in a Tactical Cloud Computing “Power Panel” at SYS-CON’s 1st Annual Government IT Conference &…
GSA, DoD and NCOIC to Collaborate on Government Cloud Computing
Yesterday, during the NCOIC Cloud Computing Workshop, collaboration seemed to be the focus as Katie Lewin, GSA Cloud Computing Initiative Program manager, and Dan Risacher, DoD Cloud Computing Storefront project…
FederalNewsRadio Highlights Government Cloud Computing
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NCOIC Officially Launches Cloud Computing Working Group
On Wednesday, 9 September 2009 the Network Centric Operations Industry Consortium (NCOIC) Technical Council formally approved the creation of a Cloud Computing Working Group (CCWG). Organizationally this new working group…
1 Billion Mobile Cloud Computing Subscribers !!
Yes. That’s what I said! A recent EDL Consulting article cites the rising popularity of smartphones and other advanced mobile devices as the driving force behind a skyrocketing mobile cloud…
NCOIC Holding Full-Day Cloud Computing Workshop
The Network Centric Operations Industry Consortium will be holding an all day Cloud Computing Workshop on September 21, 2009 in Fairfax, VA. Open to the public, this workshop will focus…
Pentagon Reviews Unisys Stealth
According to a Newtworkworld.com article, the United States Joint Forces Command (USJFC) is currently evaluating Unisys Stealth technology at the Joint Transformation Command for Intelligence (JTC-I) in Suffolk, Virginia. “Unisys…
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:
- Google’s Bigtable,
- Amazon’s SimpleDB,
- 10Gen’s Mongo,
- AppJet’s AppJet database, and
- Oracle open-source BerkelyDB.
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.
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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.
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.
^^Thanks!!
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