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DATA MANAGEMENT MOMENTS

2 - 3 Minute Data Management Videos

1 Oct, 2001

Building a Data Warehouse in Iterations

01 October, 2001

Larissa Moss

Data Warehousing

Effective data warehouse development requires an iterative approach that results in a robust, well-defined and usable system for analytics. This article is excerpted from Data Warehouse Project Management (Addison-Wesley, Adelman and Moss, © September 2000). Data Warehouse Iterations Introduction A data warehouse cannot and should not be built in one Big Bang. Instead, a data warehouse is an evol

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1 Oct, 2001

Should We Model Everything?

01 October, 2001

Daniel Roth

Enterprise Data Modeling

Different models represent and communicate different types of data; all are important to effective data management. Introduction The level of attention paid to a data model should be determined by its intended use and place in the enterprise. There are different types of models that represent different types of data, all of which should be "touched" by data administration. The actual procedures de

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1 Jul, 2001

Practical Data Management Tips

01 July, 2001

Daniel Roth

Data Management

Five Commandments of practical data management can ensure that fundamental best practices are followed consistently Introduction Commandments are like best practices (see the DAMA-DMBOK©); they are basic performance statements. In data management there are some practical, fundamental administrative rules for behavior. These are commandments and should only be compromised when there is no othe

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1 Jul, 2001

The Data Constraint to Successful Enterprise Integration

01 July, 2001

Andres Perez

Data Integration

Data Integration is essential for successful information management and business intelligence Introduction Without data integration enterprise integration is extremely costly and overly complex. Many businesses are convinced that Business Intelligence the Internet, and Customer Relationship Management (CRM) are critical, strategic areas of investment. However, most organizations are struggling

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1 Apr, 2000

Data Warehouse Costs

01 April, 2000

Sid Adelman

Best Practices

Developing a process for cost justifying a data warehouse and metrics for measuring various costs associated with a data warehouse project are essential for success This article is excerpted from a book titled Data Warehouse Project Management (published by Addison Wesley Longman (© 2000), Sid Adelman, Larissa Moss) Introduction Not every data warehouse project will be cost justified initially.

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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

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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

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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

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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

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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

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