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Solution Spotlight: Big data storage and analytics
The benefits of big data analytics are well-known and often mentioned. Unfortunately, analytics require a lot of data, which makes storage a challenge. The question becomes: how do you store, access and analyze enough data to garner those insights and justify the resources that have been committed to the task?
Check out this e-guide to explore the two primary use cases for big data analytics distinguished by the way the data is processed. You’ll get a complete breakdown of synchronous analytics versus asynchronous analytics and learn how each plays a role in big data storage.