1.

Record Nr.

UNINA9910821225803321

Autore

Reeves Laura L

Titolo

A manager's guide to data warehousing / / Laura L. Reeves

Pubbl/distr/stampa

Indianapolis, IN, : Wiley Pub., 2009

ISBN

0-470-54938-6

1-282-12226-6

9786612122262

0-470-50849-3

Edizione

[1st edition]

Descrizione fisica

1 online resource (482 p.)

Disciplina

005.74068

658.40380285574

Soggetti

Data warehousing - Management

Database management

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

A Manager's Guide to Data Warehousing; About the Author; Credits; Acknowledgments; Contents; Introduction; Overview of the Book; How This Book Is Organized; Who Should Read This Book; Part I: The Essentials of Data Warehousing; Chapter 1: Gaining Data Warehouse Success; Chapter 2: The Executive's FAQ for Data Warehousing; Part II: The Business Side of Data Warehousing; Chapter 3: Understanding Where You Are and Finding Your Way; Chapter 4: Successful IT-Business Partnerships; Chapter 5: Setting Up a Successful Project; Chapter 6: Providing Business Requirements

Part III: Dealing with the DataChapter 7: Modeling the Data for your Business; Chapter 8: Managing Data As a Corporate Asset; Part IV: Building the Project; Chapter 9: Architecture, Infrastructure, and Tools; Chapter 10: Implementation: Building the Database; Chapter 11: Data Delivery: What you Finally See; Part V: Next Steps-Expanding on Success; Chapter 12: Managing the Production Data Warehouse; Chapter 13: Achieving Long-Term Success; Glossary; Index

Sommario/riassunto

Aimed at helping business and IT managers clearly communicate with each other, this helpful book addresses concerns straight-on and provides practical methods to building a collaborative data warehouse .



You'll get clear explanations of the goals and objectives of each stage of the data warehouse lifecycle while learning the roles that both business managers and technicians play at each stage. Discussions of the most critical decision points for success at each phase of the data warehouse lifecycle help you understand ways in which both business and IT management can make decisions that best m