Frameworks and Methodologies
Building data warehouses and the associated business intelligence applications requires integrating data from multiple sources - often using multiple formats - to create a platform for running analytical applications. Data warehouse implementations generally involve the full range of new hardware, including servers, storage, and a raft of software from databases to data extraction, transformation, and loading ETL tools to end-user applications. Because a data warehouse mirrors the company's entire information infrastructure, creating one is a multifaceted challenge. A foolproof way to successfully implement a data warehouse solution is by having an established methodology which has been time tested and is adhered to.