Object-Oriented Data Warehouse Design: Building A Star Schema

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9780130850812: Object-Oriented Data Warehouse Design: Building A Star Schema

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Review :

Written for any database developer or IS manager planning to build a data warehouse, Object-Oriented Data Warehouse Design provides just the right level of detail. Mixing practical advice for project management with a remarkably clear explanation of how data warehouses store information, this book fits the bill for anyone who wants to deliver a working system that fits the needs of its users.

Data warehouses are often plagued with failure, the author argues, and his prescription for success is what makes this title worthwhile. First on the agenda is a concise tour of project management techniques (using today's iterative software methodologies) along with a practical guide to what's in store for the potential data warehouse architect as he or she works within the enterprise to combine data from disparate sources. (The author's candid sample interviews with different users of a hypothetical warehouse are alone worth the price of the book.)

The remarkably clear diagrams for understanding how data is stored in a "cube" (or hypercube) within a data warehouse will help any developer or manager understand the underlying theoretical design issues. Combined with a sample star schema for a real-estate brokerage firm, this title also demonstrates a distinctly practical side. (There are numerous pages listing the specifics of tables needed for the sample project.) You'll also be able to understand the traditional star schema, where dimensions are used to query large fact tables, plus when to implement snowflake schemas to improve performance.

This concise and well-diagrammed book can let virtually anyone understand how warehouses work; the material on project management may save the day in your next data warehouse project. Filled with practical information, Object-Oriented Data Warehouse Design will be a valuable resource for any developer or project manager. --Richard Dragan

Topics covered: Introduction to data warehouses, advantages and design issues, decision support systems (DSS), online analytical processing (OLAP), data mining, iterative development techniques, metadata and metadata standards, object modeling, analysis and design, case study and sample interviews with data warehouse stakeholders, multiple dimensions and dimension tables, cubes and hypercubes, slicing and dicing, constellation/star vs. snowflake schemas, fact tables, design hints, parallel processing for data warehousing, star query optimization, data warehousing on the Web, and checklist for successful data warehouse design.

From the Back Cover :


8508A-8

Design your data warehouse correctly from the start!

It is well-documented that most data warehouse projects fail. The #1 reason: poor data models or the failure of warehouse designers to apply a sound design methodology. Too many warehouses, and too many books, treat building the warehouse from a template approach. Don't fall into that trap!

Object-Oriented Data Warehouse Design: Building a Star Schema delivers data modeling methodologies that are proven to work. In data warehouse design, one size definitely doesn't fit all! So,

  • Build a complete star schema data model -- from initial analysis through implementation
  • Make better decisions about granularity and precision
  • Master dimensioning, hierarchies, sizing, and more

With Object-Oriented Data Warehouse Design: Building a Star Schema, you will design your data warehouse for maximum business value-the first time.

"I highly recommend the book for its clarity and practicality. Bill has taken a complex subject and brought it down to the level of readability and comprehension." —Bill Inmon

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Description du livre Pearson Education Limited, United Kingdom, 2000. Paperback. État : New. Language: English . Brand New Book. Most data warehouse projects fail -- and the #1 cause is a failure to implement the right data models. In this book, leading data warehouse expert William Giovanazzo details a proven software engineering methodology and world-class techniques for data modeling in any decision support environment. Unlike other books, Object-Oriented Data Warehouse Design: Building a Star Schema recognizes that one size doesn t fit all in data warehouse design -- and introduces a methodology that can easily be applied to any organization s realities. Readers will develop a star schema data model from start to finish, addressing key issues such as granularity and precision; dimensions; hierarchies, and sizing. Every step is introduced with theory and supported with a live case study example. The book includes methodology checklists, chapter review questions, glossaries, bibliographies, and more. For data warehouse designers and developers, and for DBAs and system engineers in companies developing a data warehouse. N° de réf. du libraire BZV9780130850812

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Description du livre Pearson Education Limited, United Kingdom, 2000. Paperback. État : New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Most data warehouse projects fail -- and the #1 cause is a failure to implement the right data models. In this book, leading data warehouse expert William Giovanazzo details a proven software engineering methodology and world-class techniques for data modeling in any decision support environment. Unlike other books, Object-Oriented Data Warehouse Design: Building a Star Schema recognizes that one size doesn t fit all in data warehouse design -- and introduces a methodology that can easily be applied to any organization s realities. Readers will develop a star schema data model from start to finish, addressing key issues such as granularity and precision; dimensions; hierarchies, and sizing. Every step is introduced with theory and supported with a live case study example. The book includes methodology checklists, chapter review questions, glossaries, bibliographies, and more. For data warehouse designers and developers, and for DBAs and system engineers in companies developing a data warehouse. N° de réf. du libraire BZV9780130850812

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