Specific aspects of Data Warehouse Development Process

Data is the new asset for the enterprises. And, Data Warehouse store the data for better insights and knowledge using Business Intelligence. Development of an Enterprise Data Warehouse has more challenges compared to any other software projects because of the

Challenges with data structures
The way data is evaluated for it's quality
Complex business rules/validations
Different development methods (various SDLC models like Water Fall model, V model, Agile Model, Incremental model, Iterative model)
Regulatory requirements for various domains like finance, telecom, insurance, Retail and IME
Compliance from third party governing bodies
Extracting data for various visualization purposes
In this course, we talk about the specific aspects of the Data Warehouse Development process taking real time practical situations and how to handle them better using best practices for sustainable, scalable and robust implementations.