The process of building a Data Warehouse includes the development of routines to extract data from operational systems and applications. The extracted source data is transformed and loaded in a database model that enables easy access for BI purposes.
Managing Vast Amounts of Data Across Many Sources
IT organizations deliver significant value to the business through solutions such as data warehouses, data marts, business intelligence and operational data stores. These solutions require the reconciliation and delivery of large amounts of enterprise data across a variety of sources - a daunting and complex task that is often time consuming and riddled with cost overruns. Most analysts agree - typical data warehousing solutions require 70 percent of the resources focused on finding, reconciling and loading the data warehouse and 70 percent of the cost geared towards ongoing operations and management.
Implementing
your data warehouse solution is a delicate task that needs to
be completed by true experts, for the following reasons: |
