By Bonnie O'neill et al
You have decided to embark on a data warehouse journey. You are probably a little scared and overwhelmed by the immensity of the project in front of you. You are probably also wondering where to start.
This book is designed to be a definitive reference guide for all project staff having anything to do with the data warehouse. Here is an overview of the types of job classes that would benefit from this book:
Project managers: The book provides a chapter on project management, and one of the appendixes has a task checklist to assist you. The methodology and architecture chapters help you in understanding what you are going to build and some best-practice guidelines in how to do it. In addition, the rest of the book, while geared for a more technical audience, can give you a feel for what to expect and what kinds of obstacles you will likely encounter throughout the expedition.
Data administrators: A few chapters are designed especially for you: "Data Integration: The Challenges," "Defining Your Data," "Metadata," and the database design chapters. You might also find the architecture and methodology chapters interesting.
Quality analysts: the data integration, metadata, and data scrubbing chapters are right up your alley.
DBAs: Many chapters are of interest to DBAs, including (but not limited to) storage concerns, physical database design, exploiting parallel technology, indexes, kernel performance tuning, and security.
Application architects and developers: There are lots of chapters that help you get a feel for how to exploit the warehouse so the end user can get the maximum benefit possible. Some of these chapters are "Using the Intranet," "Front-End Tools," "Tuning Queries," and "Data Mining."
Data warehouse architects: The book contains a wealth of architecture and methodology information, and also discusses related constructs tangential to the data warehouse, including the operational data store and data marts.
This book is designed to be a definitive reference guide for all project staff having anything to do with the data warehouse. Here is an overview of the types of job classes that would benefit from this book:
Project managers: The book provides a chapter on project management, and one of the appendixes has a task checklist to assist you. The methodology and architecture chapters help you in understanding what you are going to build and some best-practice guidelines in how to do it. In addition, the rest of the book, while geared for a more technical audience, can give you a feel for what to expect and what kinds of obstacles you will likely encounter throughout the expedition.
Data administrators: A few chapters are designed especially for you: "Data Integration: The Challenges," "Defining Your Data," "Metadata," and the database design chapters. You might also find the architecture and methodology chapters interesting.
Quality analysts: the data integration, metadata, and data scrubbing chapters are right up your alley.
DBAs: Many chapters are of interest to DBAs, including (but not limited to) storage concerns, physical database design, exploiting parallel technology, indexes, kernel performance tuning, and security.
Application architects and developers: There are lots of chapters that help you get a feel for how to exploit the warehouse so the end user can get the maximum benefit possible. Some of these chapters are "Using the Intranet," "Front-End Tools," "Tuning Queries," and "Data Mining."
Data warehouse architects: The book contains a wealth of architecture and methodology information, and also discusses related constructs tangential to the data warehouse, including the operational data store and data marts.