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DATA MANAGEMENT MOMENTS

2 - 3 Minute Data Management Videos

1 Jan, 2000

Data Warehouse Success Measures

01 January, 2000

Sid Adelman

Best Practices

Knowing how to measure success and failure, and qualifying results for a data warehouse or analytics project is essential for all project managers. This article is excerpted from a book titled Data Warehouse Project Management (published by Addison Wesley Longman (© 2000), Sid Adelman, Larissa Moss) Introduction There has been much heated discussion over the failure rate of data warehouses and de

1 Apr, 1999

Strategies for Implementation and Use of Operational Meta Data in the Data Warehouse (Part 2)

01 April, 1999

Michael F. Jennings

Metadata Types

Knowing how to use operational metadata in a data warehouse, business intelligence or analytics environment can be extremely beneficial to a wide variety of users. Introduction Many data warehouses and analytical systems include metadata management as part of their architectural considerations, but they do not explore fully the strategic approaches to using operational metadata. Ignoring the op

1 Jan, 1999

Strategies for Implementation and Use of Operational Meta Data in the Data Warehouse (Part 1)

01 January, 1999

Michael F. Jennings

Metadata Types

Strategies for implementing operational metadata can improve the design and performance of any data warehouse or business intelligence environment. Many data warehouses and analytical systems include metadata management as part of their architectural considerations, but they do not explore fully the strategic approaches to using operational metadata. Ignoring the opportunities that a focus on me

20 Nov, 2011

Metadata: The Key to Decision Support

20 November, 2011

David P. Marco

MME

Managed metadata using a repository is the foundation of a successful decision support or analytics system. Business intelligence needs metadata's capabilities. Introduction Building a metadata repository MME is critical for accessing, maintaining, and controlling the vital information stored in our decision support (DSS) or analytics systems. While metadata has always been a central covenan

1 Jan, 1999

Data Mart Migration

01 January, 1999

David P. Marco

Data Warehousing

Fully architected solutions to data warehouse / analytics systems, not independent data marts, is the right way to ensure all the benefits of integrated data Introduction The need for an architected solution to decision support / analytics data, as opposed to the proliferation of independent data marts is becoming increasingly apparent. The spread of independent data marts have created "island

1 Jan, 1999

Stranded on Islands of Data

01 January, 1999

David P. Marco

Data Warehousing

Independent data marts create stranded, unusable data. Independent data marts can spread like a disease through an organization and must be eradicated. There is a severe disease that has spread to epidemic proportions throughout our society. This disease is particularly dangerous as its effects are not readily identifiable at the time of infection. However, if this condition goes untreated, it c

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