Data Warehousing
Bibliographic details
Summary
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. About The Author: Reema Thareja is Assistant Professor at the Institute of Information Technology and Management, an affiliate of GGS Indraprastha University, New Delhi. She has completed MCA(SE) and MPhil(CS) and is currently pursuing research in the area of Improving Data Warehouse Quality.She specializes in programming languages, OS, DBMS, multimedia, and Web technologies. She is the author of Data Warehousing and Data Structures using C and a co-author of Computer Programming and Data Structures, all published by OUP. Table Of Contents: Preface Part I Chapter 1: Introduction to Data Warehousing Chapter 2: Data Warehouse: Defining Features Chapter 3: Architects of a Data Warehouse Part II 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 10: OLAP in the Data Warehouse Part III Chapter 11: Building a Data Warehouse Chapter 12: Data Mining Basics Chapter 13: Moving into Dat