As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product. While it may be easy to plan for a data warehouse that incorporates all the right concepts, taking the steps needed to create a warehouse that is
Building and Maintaining a Data Warehouse
β Scribed by Fon Silvers
- Publisher
- Auerbach Publications
- Year
- 2008
- Tongue
- English
- Leaves
- 330
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product. While it may be easy to plan for a data warehouse that incorporates all the right concepts, taking the steps needed to create a warehouse that is as functional and user-friendly as it is theoretically sound, is not especially easy. Thatβs the challenge that Building and Maintaininga Data Warehouse answers.
Based on a foundation of industry-accepted principles, this work provides an easy-to-follow approach that is cohesive and holistic. By offering the perspective of a successful data warehouse, as well as that of a failed one, this workdetails those factors that must be accomplished and those that are best avoided.
Organized to logically progress from more general to specific information, this valuable guide:
- Presents areas of a data warehouse individually and in sequence, showing how each piece becomes a working part of the whole
- Examines the concepts and principles that are at the foundation of every successful data warehouse
- Explains how to recognize and attend to problematic gaps in an established data warehouse
- Provides the big picture perspective that planners and executives require
Those considering the planning and creation of a data warehouse, as well as those whoβve already built one will profit greatly from the insights garnered by the author during his years of creating and gathering information on state-of-the-art data warehouses that are accessible, convenient, and reliable.
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As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product. While it may be easy to plan for a data warehouse that incorporates all the right concepts, taking the steps needed to create a warehouse that is
<p>Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to h
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help