Cloud Databases

September 30, 2008 / G C Network /
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Transformation Network

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The Achilles heel of every transformative business model is their reliance on ever increasing amounts of data that need to be transported quickly across wide area networks and processed at…

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Essential Characteristics of Cloud Computing as Digital Transformation

By pwsadmin | May 15, 2021

Hybrid IT blends traditional datacenters, managed service providers, and cloud service providers to deliver the necessary mix of information technology services. This IT consumption model enables a composable infrastructure which…

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Transformation Innovation

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4 Factors Driving Digital Transformation ROI The critical assessment factors for cloud ROI risk probability are the following:      Infrastructure utilization Speed of migration to cloud Ability to scale business/mission processes…

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Transformation Frameworks

By pwsadmin | May 15, 2021

Digital transformation necessitates changes in an organization’s operational processes. According to Harvard, a focus on operations can lead to business process optimization and entirely new revenue streams. Three common routes…

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Transformation Infrastructure

By pwsadmin | September 26, 2020

Hybrid IT enables a composable infrastructure which describes a framework whose physical compute, storage, and network fabric resources are treated as services. Resources are logically pooled so that administrators need…

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Essential Characteristics of Cloud Computing as Digital Transformation

By pwsadmin | September 25, 2020

A survey of 2,000 executives conducted by Cognizant in 2016 identified the top five ways digital transformations generate value:      Accelerating speed to market      Strengthening competitive positioning      Boosting revenue growth      Raising…

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Embrace Transformation

By pwsadmin | September 22, 2020

From a business perspective, differentiating business processes and quality customer service are central to overall success. Business leaders must therefore clearly identify and measure how information technology contributes to the…

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Computer Vision Advances Zero-Defect Manufacturing

By pwsadmin | July 25, 2020

by Kevin L. Jackson Electronics manufacturers operate in a challenging environment. It’s hard enough to keep up with the ever-accelerating rate of change in the industry. Now customers want increasingly…

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Real-Time Analytics Power the Roadway of the Future

By pwsadmin | July 25, 2020

By Kevin L. Jackson The complexities of citywide traffic are pushing the limits of existing transportation management systems. Outdated infrastructure is based on proprietary, single-purpose subsystems, making it costly to…

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Thriving on the Edge: Developing CSP Edge Computing Strategy

By pwsadmin | March 6, 2020

Communications Service Providers (CSPs) are facing significant business model challenges. Referred to generally as edge computing, the possibilities introduced by the blending of 5G networks and distributed cloud computing technologies are…

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.

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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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