Data performance problems occur within even the most carefully planned and well executed data integration environments. Highly efficient software that is optimized to perform within these existing data integration environments can eliminate these bottlenecks in a cost-effective and scalable manner, without requiring “rip-and-replace,” large investments in additional hardware and software, or custom programming techniques.
This paper details non-disruptive strategies for eliminating performance problems in existing data integration environments.
