Data warehouse lifecycle toolkit

Database books

Step Dimensions
To tell where the individual step fits into the overall session, a step dimension is used that shows what step number is represented by the current step and how many more steps were required to complete the session..

How do you plan a data warehouse project?

How to build a data warehouse in 7 steps:

1. Elicit goals
2. Conceptualize and select the platform
3. Create a business case and develop a project roadmap
4. Analyze the system and design the data warehouse architecture
5. Develop and stabilize the system
6. Launch the solution
7. Ensure after-launch support

What are the phases of data warehouse project?

warehouse system goes through between when it is conceived and when it is no longer available for use.
Apart from the type of software, life-cycles typically include the following phases: requirements analysis, design (including modeling), construction, testing, deployment, operation, maintenance and retirement..

What is data warehouse lifecycle?

warehouse system goes through between when it is conceived and when it is no longer available for use.
Apart from the type of software, life-cycles typically include the following phases: requirements analysis, design (including modeling), construction, testing, deployment, operation, maintenance and retirement..

What is the Ralph Kimball lifecycle?

The Kimball lifecycle is a methodology for developing data warehouses, and has been developed by Ralph Kimball and a variety of colleagues.
The methodology "covers a sequence of high level tasks for the effective design, development and deployment" of a data warehouse or business intelligence system..

Which of the following is a phase of data warehouse development life cycle?

Apart from the type of software, life cycles typically include the following phases: requirement analysis, design (including modeling), construction, testing, deployment, operation, maintenance, and retirement..