Historically, analytic and transactional data processing has been separate, resulting in challenges for embedding intelligence into operational apps.
Goals and Objectives
To provide support for mixed workloads including support of real-time insights and recommendations and intelligent enterprise applications.
RDBMs with analytic-transactional capabilities, in-memory databases, dynamic SQL databases.
Use Case Summary
Incorporate of insights into the follow of operations to enable in-process decision support and more optimized transaction processing across applications.