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David Birmingham
Senior Principal Consultant, Brightlight Business Analytics, a division of Sirius Computer Solutions

David Birmingham is the senior principle consultant for Brightlight Business Analytics, a division of Sirius Computer Solutions. David has been solving large-scale problems with PureData Analytics/Netezza Technology since 2006 and is the author of Netezza Underground and Netezza Transformation (Amazon.com), voice talent for Underground Monologues on Amazon MP3 Audio and author of the IBM DeveloperWorks Netezza Underground Blog, a featured Best-Practice speaker at Enzee Universe, the Virtual Enzee forum and generally assists dragonslayers throughout the realm.

Granting a Gateway to Powerful Analytics: Part 2

Consumption points keep the business intelligence <br>tail from wagging the dog

August 23, 2013 | by David Birmingham, Senior Principal Consultant, Brightlight Business Analytics, a division of Sirius Computer Solutions
Consumption points keep the business intelligence tail from wagging the dog

Granting a Gateway to Powerful Analytics: Part 1

Prevent direct business intelligence access to <br>data structures for agile data analysis

August 16, 2013 | by David Birmingham, Senior Principal Consultant, Brightlight Business Analytics, a division of Sirius Computer Solutions
Prevent direct business intelligence access to data structures for agile data analysis

Easing the Heavy Lifting of Bulk Data Processing

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

July 26, 2013 | by David Birmingham, Senior Principal Consultant, Brightlight Business Analytics, a division of Sirius Computer Solutions
Generate SQL from a template, and voilà! Portable cross-database references

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

May 31, 2013 | by David Birmingham, Senior Principal Consultant, Brightlight Business Analytics, a division of Sirius Computer Solutions
If C-level decision makers cannot rely on scalable capacity as a foundation, building a competitive edge might remain just a dream

Dream Machines: Part 1

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

May 13, 2013 | by David Birmingham, Senior Principal Consultant, Brightlight Business Analytics, a division of Sirius Computer Solutions
C-level decision makers need scalable capacity, not overworked employees using underpowered systems

Large-Scale Data Management: Part 3

Scalable offload and reload, backup, and restore

January 24, 2013 | by David Birmingham, Senior Principal Consultant, Brightlight Business Analytics, a division of Sirius Computer Solutions
Scalable offload and reload, backup, and restore

Large-Scale Data Management in PureData/Netezza: Part 2

Scalable traceability, rollback, and replication

January 16, 2013 | by David Birmingham, Senior Principal Consultant, Brightlight Business Analytics, a division of Sirius Computer Solutions
Scalable traceability, rollback, and replication

Large-Scale Data Management: Part 1

Scalable and objective database content management

January 4, 2013 | by David Birmingham, Senior Principal Consultant, Brightlight Business Analytics, a division of Sirius Computer Solutions
Scalable and objective database content management

Large-Scale Referential Integrity for Analytics: Part 2

Discover how to manage and reconcile thousands to millions of referential errors

November 2, 2012 | by David Birmingham, Senior Principal Consultant, Brightlight Business Analytics, a division of Sirius Computer Solutions
Discover how to manage and reconcile thousands to millions of referential errors

Large-Scale Referential Integrity in IBM PureData System for Analytics: Part 1

Scalable capture of millions to billions of referential errors

October 9, 2012 | by David Birmingham, Senior Principal Consultant, Brightlight Business Analytics, a division of Sirius Computer Solutions
Scalable capture of millions to billions of referential errors