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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:
- People, process issues offer path to improve data quality on the cheap Summary
An emphasis on educating end users and upgrading internal processes can help enterprises fix data quality problems without dropping a ton of cash, according to analysts. - To glean value from 'big data' projects, it may take more than Hadoop Summary
Organizations will have to push beyond storage requirements and basic business intelligence tools to exploit big data, according to a Gartner analyst. - Bank of America IT exec: EIM drivers key to shaping project plans Summary
Enterprise information management programs should be molded around clear business objectives, says a senior information architect at Bank of America.
Most Recent Resources:
- NEC Europe has yen for Host Analytics' financial planning Summary
NEC Europe has signed up to use Host Analytics' cloud-based financial planning service to better integrate an acquisition and support its growth plans.
Source: SearchDataManagement.co.uk - SAP builds the case for HANA in-memory bench with new apps, customers Summary
After talking up its mobile and cloud road maps, SAP chose last day of the SapphireNow conference to talk about the third part of the equation it's basing its future success on: HANA, and in-memory technology.
Source: SearchSAP.com - Three new T-SQL commands in SQL Server 2012 to make your life easier Summary
Each release of SQL Server brings changes to Transact SQL. In this tip, expert Serdar Yegulalp gives a walkthrough of tweaks like WITH RESULT SETS for renaming columns and THROW for catching errors.
Source: SearchSQLServer.com
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