Data warehousing has changed the face of competition in many industries. But, to become a truly strategic resource, the warehouse must be able to accommodate more data than you think you have, more users than you know exist, more complexity than the best DBAs could tune for - and do these things in a cost-effective manner
As solid state disks show signs of rebirth and growth, vendors and their integrators must identify what values SSD offers within the context of modern enterprise computing.
The creation and enforcement of referential integrity - the practice of ensuring that relationships between rows of data exist and are used as they are defined - and especially bounded referential integrity give the user a feeling of confidence in the data and predefined relationships in completing complicated tasks.
The right tools for the right job as the saying goes. The competitive edge goes to the company with the best information and the most-efficient processes for delivering it. But often lost in this mix is the price tag that accompanies the actual moving of legacy data from older to newer enterprise systems.
As we move into the next stage of data mining, businesses see the need to automate more and more of the process, beginning with the collection and warehousing of the appropriate data and ending with the incorporation of the appropriate predictive model into operational systems.
The do's, do not's and the dare not's in data warehousing when designing, implementing and using a DB2-based data warehouse for OS/390.
The authors propose an enterprise architecture for delivering dependent data marts that will satisfy varying end user's DSS needs, and features the ability to allow the reuse of dimensions across the enterprise.