Data warehousing fundamentals for IT professionals
Ponniah, Paulraj.
Data warehousing fundamentals for IT professionals / Paulraj Ponniah. - 2nd ed. - New Jersey : John Wiley & Sons, 2010 - xxviii, 571 p. : ill. ; 26 cm.
Previous ed. published under title: Data warehousing fundamentals.
1. Data warehousing fundamentals for it professionals
2. Contents
3. Preface
Part 1 overview and concepts
1. The compelling need for data warehousing
2. Data warehouse: the building blocks
3. Trends in data warehousing
Part 2 planning and requirements
1. Planning and project management
2. Defining the business requirements
3. Requirements as the driving force for data warehousing
Part 3 architecture and infrastructure
1. Architectural components
2. Infrastructure as the foundation for data warehousing
3. The significant role of metadata
Part 4 data design and data preparation.
1. Principles of dimensional modeling
2. Dimensional modeling: advanced topics
3. Data extraction, transformation, and loading
4. Data quality: a key to success
Part 5 information access and delivery
1. Matching information to the classes of users
2. Olap in the data warehouse
3. Data warehousing and the web
4. Data mining basics
Part 6 implementation and maintenance
1. The physical design process
2. Data warehouse deployment
3. Growth and maintenance.
9780470462072 (cloth)
Data warehousing.
005.74/5 / P797
Data warehousing fundamentals for IT professionals / Paulraj Ponniah. - 2nd ed. - New Jersey : John Wiley & Sons, 2010 - xxviii, 571 p. : ill. ; 26 cm.
Previous ed. published under title: Data warehousing fundamentals.
1. Data warehousing fundamentals for it professionals
2. Contents
3. Preface
Part 1 overview and concepts
1. The compelling need for data warehousing
2. Data warehouse: the building blocks
3. Trends in data warehousing
Part 2 planning and requirements
1. Planning and project management
2. Defining the business requirements
3. Requirements as the driving force for data warehousing
Part 3 architecture and infrastructure
1. Architectural components
2. Infrastructure as the foundation for data warehousing
3. The significant role of metadata
Part 4 data design and data preparation.
1. Principles of dimensional modeling
2. Dimensional modeling: advanced topics
3. Data extraction, transformation, and loading
4. Data quality: a key to success
Part 5 information access and delivery
1. Matching information to the classes of users
2. Olap in the data warehouse
3. Data warehousing and the web
4. Data mining basics
Part 6 implementation and maintenance
1. The physical design process
2. Data warehouse deployment
3. Growth and maintenance.
9780470462072 (cloth)
Data warehousing.
005.74/5 / P797