At least 73 percent of businesses have or plan to invest in big data within the next 24 months, according to a recent Gartner survey. The big data machine is clearly here to stay, with today’s organizations searching for new ways to derive actionable business value from their troves of information.

While Hadoop-powered data lakes are a popular choice for analyzing data “after-the fact,” there is often missed opportunity in analyzing real-time data streams the moment the information is received, beforeit enters the enterprise data store. Mike Gualtieri, principal analyst at Forrester Research, refers to the temporal nature of the opportunity as “perishable insight.” To maximize the business value in real time data, organizations need to look at new approaches to managing data that combine analytics on streaming data with context (or ‘state’ in database terminology) with analytics derived from historical data. 

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