Tom Rieger

Tom Rieger manages the Information Management Research team for the IBM Competitive Project Office. Tom manages the hands-on comparison of IBM technologies against what exists in the market. Previously, He spent 18 years in different sales and marketing roles for IBM, FileNet, Ascential Software, and Informix and spent seven years in IT doing transactional and analytic work in the manufacturing industry for Textron Lycoming and Labatt USA.

Rethinking-compression
Databases

Rethinking Compression

IBM DB2 with BLU Acceleration streamlines storage and access of columnar data in an ecosystem of optimization

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Get up to speed for the fastest Informix DBA contest
Databases

Get Up to Speed for the Fastest Informix DBA Contest

Build on DBA skills while taking advantage of a time extension for the 2013 contest

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Do not ignore structured data in big data analytics
Databases

Do Not Ignore Structured Data in Big Data Analytics

The important role of structured data when gleaning information from big data

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Putting database administrator skills to the test
Databases

Putting Database Administrator Skills to the Test

Tune online transaction and batch processing on the same server in the Fastest Informix DBA Contest

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Minimizing buffer turnover rate
Databases

Minimizing Buffer Turnover Rate

Optimize Informix database server memory management to help reduce database memory churn

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Analyze Your Data Where It Lives On System z
Databases

Analyze Your Data Where It Lives: On System z

Why you should consider moving the queries to the data

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Thanks for Making the 2013 IIUG Conference the Best Yet
Databases

Thanks for Making the 2013 IIUG Conference the Best Yet!

What made this year’s event so successful—and what we’re looking forward to in 2014

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The What, How, and Why of DB2 Accelerators
Databases

The What, How, and Why of DB2 Accelerators

Direct answers to the most important questions about DB2 accelerators

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Informix 12.10 New Grid Queries
Databases

Informix 12.10: New Grid Queries

A paradigm shift in thinking about database queries

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Performance and Capacity Considerations for zIIP Engines
Databases

Performance and Capacity Considerations for zIIP Engines

zIIP engines can dramatically reduce mainframe TCO—but they must be handled differently than general-purpose processors

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