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- Data Warehousing and Data Quality: The Chicken or the Egg? Summary
While the need for data quality has long been recognized in transaction processing systems, it wasn’t until there were data warehouses that the real state of data quality became known.
by Bill Inmon
- Is the SDLC Relevant to Data-Centric Projects? Summary
There has been a shift from a process-centric view in application development to a data-centric view. Because so much has changed since the SDLC originated, does it really apply to what is being done today?
by Malcolm Chisholm - Taxonomies and Data Models Summary
When dealing with unstructured data, taxonomies are used to organize and understand the textual, unstructured data.
by Bill Inmon - Data Warehousing: Kimball vs. Inmon (By Inmon) Summary
In this article, Bill Inmon compares and contrasts the Inmon and Kimball approaches to data warehousing, highlighting the pros and cons of each approach.
by Bill Inmon - Who is Building Systems Today? Summary
According to Bill Inmon, as long as economic circumstances remain the same, it is doubtful there will ever be a return to corporate system development.
by Bill Inmon - How Did Bad Data Get Into the System? Summary
Bill Inmon describes common "bad data" problems and suggests that the solution for these problems is not simply correcting the data. To avoid recurring problems, the causes of bad data must be discovered.
by Bill Inmon - Why Venn Diagrams Don't Work for Data Summary
Malcolm Chisholm explains why we need to find techniques that are oriented specifically to data rather than borrowed from other areas of human experience.
by Malcolm Chisholm - Definitions in Information Management Summary
Although there is a superficial appreciation of the importance of definitions, too few practical approaches have yet been created to use them effectively in data management.
by Malcolm Chisholm
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Editors' Picks:
- When shopping for a 'big data' analytics platform, talk the talk Summary
Enterprise Strategy Group provides a few tips on how to narrow down the product and deployment options before investing in a “big data” analytics platform. - Forrester Wave: Informatica, IBM lead data virtualization tools market Summary
Informatica and IBM are the top dogs in the data virtualization software market, thanks to a strong combination of “enterprise-class” features, according to Forrester Research Inc. - Data virtualization tools: Are they right for you? Summary
Real-time BI reporting and high-performance transaction processing top the list of potential reasons to use data virtualization tools, according to IT professionals and industry analysts.
Most Recent Resources:
- Standards, clear-cut touchpoints vital to cloud ERP integration Summary
Integrating cloud applications with on-premises ERP presents a long list of challenges. Industry experts weigh in on what to tackle first and how.
Source: SearchManufacturingERP.com - When up isn't enough: Techniques for scaling SQL Server out Summary
Scaling SQL Server out is not easy; that's why most businesses choose to scale up their databases instead. But some applications give you no choice: You've got to look at options for scaling out.
Source: SearchSQLServer.com - SQL Server stored procedures supercharged in recent, upcoming versions Summary
Microsoft is forever tinkering with SQL Server stored procedures to give queries more thrust. Find out what's new in SQL Server 2008, 2008 R2 and the next-generation 2012 release.
Source: SearchSQLServer.com
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