A Manager's Guide to Data Warehousing: Timely. Practical. Reliable - Softcover

Über die Autorin bzw. den Autor

LAURA L. REEVES, coauthor of The Data Warehouse Lifecycle Toolkit, has over 23 years of experience in end-to-end data warehouse development focused on developing comprehensive project plans, collecting business requirements, designing business dimensional models and database schemas, and creating enterprise data warehouse strategies and data architectures.

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An ideal guide for the non-technical professional eager to learn more about data warehousing

A successful data warehouse project can provide immense value for business enterprises or other organizations. Building and maintaining a data warehouse demands the combined efforts of both IT and non-technical personnel. While there are plenty of resources aimed at the technology professionals who design and build data warehouses, there has to date been no useful guide written for a non-technical audience. This book fills that void and serves as an ideal resource for business and IT managers and others from the non-IT side who want to do their part to ensure data warehousing success.

This helpful book provides a solid introduction to the fundamentals of data warehousing. The author details each step of a data warehouse project, and provides a clear explanation of what's involved in efficiently building a data warehouse and what must be done to deliver the data. You'll examine the business management of a data warehouse and discover essential methods for cultivating a strong partnership between the business and IT elements of your organization. You can use this knowledge to be more effective when sharing your requirements and concerns during a project.

A Manager's Guide to Data Warehousing explains what you need to create your data warehouse and establish long-term success. The book covers:

• The most common factors for ensuring data warehousing success and the roadblocks that can prevent it
• How to ensure that business and technical staff have a common understanding of the data warehouse project
• How to effectively communicate your business requirements for the data warehouse
• The tools you need to make certain that data is organized and can be delivered as needed
• Ways to deploy the data warehouse and ensure sustainable success

Aus dem Klappentext

An ideal guide for the non-technical professional eager to learn more about data warehousing

A successful data warehouse project can provide immense value for business enterprises or other organizations. Building and maintaining a data warehouse demands the combined efforts of both IT and non-technical personnel. While there are plenty of resources aimed at the technology professionals who design and build data warehouses, there has to date been no useful guide written for a non-technical audience. This book fills that void and serves as an ideal resource for business and IT managers and others from the non-IT side who want to do their part to ensure data warehousing success.

This helpful book provides a solid introduction to the fundamentals of data warehousing. The author details each step of a data warehouse project, and provides a clear explanation of what's involved in efficiently building a data warehouse and what must be done to deliver the data. You'll examine the business management of a data warehouse and discover essential methods for cultivating a strong partnership between the business and IT elements of your organization. You can use this knowledge to be more effective when sharing your requirements and concerns during a project.

A Manager's Guide to Data Warehousing explains what you need to create your data warehouse and establish long-term success. The book covers:

• The most common factors for ensuring data warehousing success and the roadblocks that can prevent it
• How to ensure that business and technical staff have a common understanding of the data warehouse project
• How to effectively communicate your business requirements for the data warehouse
• The tools you need to make certain that data is organized and can be delivered as needed
• Ways to deploy the data warehouse and ensure sustainable success