Shows & Panels
- The 2014 Big Picture on Cyber Security
- AFCEA Answers
- Ask the CIO
- Building the Hybrid Cloud
- Connected Government: How to Build and Procure Network Services for the Future
- Continuing Diagnostics and Mitigation: Discussion of Progress and Next Steps
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- The Future of IT: How CIOs Can Enable the Service-Oriented Enterprise
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- Moving to the Cloud. What's the best approach for me
- Navigating Tough Choices in Government Cloud Computing
- The New Generation of Database
- Satellite Communications: Acquiring SATCOM in Tight Times
- Targeting Advanced Threats: Proven Methods from Detection through Remediation
- Transformative Technology: Desktop Virtualization in Government
- The Truth About IT Opex and Software Defined Networking
- Value of Health IT
- Air Traffic Management Transformation Report
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- General Dynamics IT Enterprise Center
- Gov Cloud Minute
- Government in Technology Series
- Homeland Security Cybersecurity Market Report
- National Cybersecurity Awareness Month
- Technology Insights
- The Cyber Security Report
- The Next Generation Cyber Security Experts
Shows & Panels
How to understand big data
Tuesday - 3/4/2014, 10:24pm EST
Today's interview is with Keith Boyer, the COO of DMG Federal.
He has been involved in helping federal information professionals understand enormous amounts of information for over twenty years. During the interview he gives his perspective on what kind of tools that one can use to make thousands of data points actionable.
The discussion includes references to concepts like Crystal Reports and Oracle. The interview morphed into giving a better understanding of three key products: Tableau Software, Birst, and Kognito.
All three products have varying applications. Tableau is a tool you can use to visualize data. They received the recognition as a leader in the "2013 Magic Quadrant for Business Intelligence and Analytics Platforms."
During the interview, Boyer differentiates among the varying tools like Tableau, Birst, and Kognito and when to use each one.
The takeaway is that larger vendors like IBM, Microsoft, and Oracle may not have the best solution for data visualization. In fact, their size may make the business intelligence aspect of data warehousing a check box item that doesn't render much value.