Knowledge and Data Management White Papers
You Need to Consolidate Massive Amounts of Data?: Select the Fastest Method or Go for Minimal Memory Requirements to Build Your Result
Overview Most applications require consolidated data. With the ever growing volumes of data, CPU time becomes a bottleneck, and performance becomes vital. The most common way to consolidate data is the MEANS or SUMMARY procedure; database addicts prefer the Structured Query Language (SQL) procedure. These procedures, although very powerful and easy, sometimes require too much CPU time or cause out of memory errors.
| Publisher | SAS Institute | File Format | |
|---|---|---|---|
| Date Published | February 2009 | ||
| Format | White Papers | ||
| Topics | |||
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White Paper RSSAccelerating Enterprise Data Governance Part 1
DownloadIn the first of this series of three white papers, Mike Ferguson of Intelligent Business Strategies defines what data governance is and then looks at the requirements that need to...
Data Governance for Master Data Management and Beyond
There is growing interest on behalf of both data management professionals and senior business managers to understand the motivations, mechanics, and benefits of instituting data governance within an organization. This...
Getting Started with Master Data Management
Master data management forms part of an overall enterprise governance program that aims to establish trusted data throughout the enterprise. This white paper from Mike Ferguson of Intelligent Business Strategies...
Five Steps to More Valuable Enterprise Data
Companies worldwide struggle with inconsistent, inaccurate or unreliable data - and often don't know how to build more useful corporate information. This white paper examines a five-step method for...
The Evolution of Integration
Once upon a time life and information systems were simple. Then one day somebody let Pandora out of her box. Someone said -can't we add new requirements to these systems?...
