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Provides an overview of a framework for presenting data requirements in the context of time (current, historical and future) and level of detail (detailed, summary).
Provides criteria that can be used to evaluate data transformation tools
Describes the processes that must be performed to transform data between applications, including for the data warehouse and application conversions.
Provides an overview of the business processes that must be established to manage metadata, including a context diagram that relates the metadata management environment to the other tools that are the sources or users of metadata.
Review of The Data Warehouse Toolkit, Data Warehouseing-Strategies, Technologies and Techniques and Data Warehouse, From Architecture to Implementation
Describes a repository-based environment for managing data warehouse meta-data.
Describes Spectrum Technology Group's classification of the data warehouse functions: Source, Load, Storage, Query and Metadata
Describes how Source/Use analysis and Responsibility, Authority, Expertise, Work (RAEW) analysis to identify where shared data is required at an enterprise-wide level and for allocating responsibility for data quality to the business stakeholder.
Describes how a business rule stewardship can be effective, but fundamental changes to the organization may be required, such as compensation plans, to reflect that data is valued.
Presents an application portfolio architecture that allows applications that have been architected to share and integrate data co-exist with the unarchitected applications.
Highlights the business practices that lead to data quality problems
Describes some of the barriers a data warehouse analyst will encounter when trying to integrate data sourced from different applications.
What constitutes quality data in the operational environment and for the data warehouse can be different. Identifies a parameter set that must be specified for data warehouses.
Compares the star/dimensional model and relational model, presenting the premise that both types of models must co-exist in order to manage the information resource
Definitions of common data warehouse terms and buzz words
Last updated on: 12/17/01
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