Data Warehousing

Price: 640.00 INR

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ISBN:

9780195699616

Publication date:

25/03/2009

Paperback

484 pages

Price: 640.00 INR

We sell our titles through other companies
Disclaimer :You will be redirected to a third party website.The sole responsibility of supplies, condition of the product, availability of stock, date of delivery, mode of payment will be as promised by the said third party only. Prices and specifications may vary from the OUP India site.

ISBN:

9780195699616

Publication date:

25/03/2009

Paperback

484 pages

First Edition

Reema Thareja

Data Warehousing provides a thorough understanding of the fundamentals of data warehousing and imparts a sound knowledge-base to users for the creation and management of a data warehouse.

Suitable for: the book furnishes a detailed discussion on planning and project management, testing and growth.

Rights:  World Rights

First Edition

Reema Thareja

Description

Data Warehousing provides a thorough understanding of the fundamentals of data warehousing and imparts a sound knowledge-base to users for the creation and management of a data warehouse.

"Written in a student-friendly manner, the book introduces the various features and architecture of a data warehouse followed by a detailed study of its business requirements and dimensional modelling. It goes on to discuss the components of a data warehouse and leads up to the core area of the subject by providing a thorough understanding of the building and maintenance of a data warehouse. Delving deeper into the subject, the book furnishes a detailed discussion on planning and project management, testing and growth. It provides a broad overview of data mining and its relationship with OLAP and data warehousing technologies, finally concluding with a discussion on data warehouse solutions and the latest trends in this field.

First Edition

Reema Thareja

Table of contents

Chapter 1: Introduction to Data Warehousing
Chapter 2: Data Warehouse: Defining Features
Chapter 3: Architects of a Data Warehouse
Chapter 4: Gathering the Business Requirements
Chapter 5: Planning and Project Management
Chapter 6: Data Warehouse Schema
Chapter 7: Dimensional Modelling
Chapter 8: The ETL Process
Chapter 9: Testing, Growth, and Maintenance
Chapter 11: Building a Data Warehouse
Chapter 12: Data Mining Basics
Chapter 13: Moving into Data Mining
Chapter 14: Trends in Data Warehousing

First Edition

Reema Thareja

Features

  • Incorporates a step-by-step approach to designing and building a data warehouse
  • Provides numerous review questions, multiple choice questions, and end-chapter exercises
  • Contains a running case-study to bring out the practical aspects of building and maintaining a data warehouse
  • Illustrates difficult concepts through several examples

Description

Data Warehousing provides a thorough understanding of the fundamentals of data warehousing and imparts a sound knowledge-base to users for the creation and management of a data warehouse.

"Written in a student-friendly manner, the book introduces the various features and architecture of a data warehouse followed by a detailed study of its business requirements and dimensional modelling. It goes on to discuss the components of a data warehouse and leads up to the core area of the subject by providing a thorough understanding of the building and maintenance of a data warehouse. Delving deeper into the subject, the book furnishes a detailed discussion on planning and project management, testing and growth. It provides a broad overview of data mining and its relationship with OLAP and data warehousing technologies, finally concluding with a discussion on data warehouse solutions and the latest trends in this field.

Read More

Table of contents

Chapter 1: Introduction to Data Warehousing
Chapter 2: Data Warehouse: Defining Features
Chapter 3: Architects of a Data Warehouse
Chapter 4: Gathering the Business Requirements
Chapter 5: Planning and Project Management
Chapter 6: Data Warehouse Schema
Chapter 7: Dimensional Modelling
Chapter 8: The ETL Process
Chapter 9: Testing, Growth, and Maintenance
Chapter 11: Building a Data Warehouse
Chapter 12: Data Mining Basics
Chapter 13: Moving into Data Mining
Chapter 14: Trends in Data Warehousing

Read More