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Data Management

Blend, cleanse and prepare data for analytics, reporting or data modernization efforts

Jim HarrisJune 2, 2015 0

Three things that need to get real – real-time, that is

In my previous post, I discussed the similarities, differences and overlap between event stream processing (ESP) and real-time processing (RTP). In this post, I want to highlight three things that need to get real. In other words, three things that should be enhanced with real-time capabilities, whether it’s ESP, RTP or

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Data Management

Hugo D'UlisseJune 1, 2015 0

Use Hadoop to visualize what wasn’t visible before

You might have lots of data on lots of customers, but imagine if you could suddenly add in a huge dollop of new, highly informative data that you weren’t able to access before. You could then use analytics to extract some really important insights about these customers, allowing you to

Data Management

David LoshinMay 27, 2015 0

Pushing event analytics to the edge

In my last post, we examined the growing importance of event stream processing to predictive and prescriptive analytics. In the example we discussed, we looked at how all the event streams from point-of-sale systems from multiple retail locations are absorbed at a centralized point for analysis. Yet the beneficiaries of those

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