David Birmingham

David Birmingham is a senior solutions architect with Brightlight Analytics, a division of Sirius Computer Solutions, and an IBM Champion. David focuses on solutions using the IBM Netezza® appliance. He has two books on the subject: Netezza Underground and Netezza Transformation, available on Amazon.com, and he drives the best practices sessions at the Enzee Universe. David has more than 25 years of experience in very-large-scale solution deployment. Connect with David on IBM developerWorks through his profile, the Netezza Underground blog, or meet him in person at IBM Insight conferences in Las Vegas for the Enzee Best Practices sessions.

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Technologies

Rising Heroically to the Scalability Challenge

Can commodity tools step up to the big leagues of big data analytics?

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Solutions

The Agony and Ecstasy of Scalable Disaster Recovery

Deploy PureData for Analytics, powered by Netezza technology, to set up scalable disaster recovery

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Solutions

The Joy of Continuous Models for Streaming Data

Set up scalable, on-demand data processing in PureData for Analytics powered by Netezza

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Solutions

Embrace the Change: Part 2

How IBM Netezza technology removes the intimidation of artificial constraints

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Solutions

Embrace the Change: Part 1

When deploying IBM Netezza technology, don’t just shift gears; change the playing field

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Solutions

Stress Relief: Part 2

Exploit the simple-by-design characteristics of Netezza technology to avoid the slowdown of system stress

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Solutions

Stress Relief: Part 1

Alleviate the perfect storm of system stress by optimizing Netezza data warehouses

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Technologies

Granting a Gateway to Powerful Analytics: Part 2

Consumption points keep the business intelligence tail from wagging the dog

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Technologies

Granting a Gateway to Powerful Analytics: Part 1

Prevent direct business intelligence access to data structures for agile data analysis

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Technologies

Easing the Heavy Lifting of Bulk Data Processing

Generate SQL from a template, and voilà! Portable cross-database references

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Database and platform

Dream Machines: Part 2

If C-level decision makers cannot rely on scalable capacity as a foundation, building a competitive edge might remain just a dream

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Database and platform

Dream Machines: Part 1

C-level decision makers need scalable capacity, not overworked employees using underpowered systems

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