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Enterprise Data Management in an 'In-Memory' World
As data grows exponentially, many businesses are turning to in-memory analytics to help deal with this data at a suitable and faster pace than can be done with conventional analytics.
But as this in-memory use matures, it is beyond imperative that organizations develop a more agile and efficient data management strategy to keep data as a valuable asset. When it comes down to it, it’s all about having the right architecture in place.
The following white paper explores the tactics, best practices, and architecture needed to make sure that your in-memory solution is running as smooth and efficiently as possible.
Gain insight on topics such as:
- The 4 architectures of in-memory analytics
- The 4 types of analytics
And much more.