Tapping into life – An Introduction to Stream Analytics by Jose Rodrigues

Welcome to a new stream (no pun intended) on Red Mavericks articles. This time, we’ll be doing an introduction on Oracle’s new Stream Analytics.

We’ll be guiding you through this new, and very cool, product showing what it is and what it can do to leverage this largely untapped resource which is event stream analysis. In fact, streams are everywhere and are becoming more and more open and accessible. If you “wiretap” these, listen to them and understand the behavioral patterns , you can build extremely valuable applications that will help you deliver more to your customers.

It’s a whole new ball game. I hope you find this interesting.

What is Oracle Stream Analytics?

Oracle Stream Analytics (previously Oracle Stream Explorer) is, in fact, an application builder platform, focused on applications that process events coming from the most various systems, internal or external to the organization, thus enabling Business Insight information and deriving relevant data from these events.

It works using an Event Processing Engine to perform Fast Data Analysis over a large number of events that typically appear in a given timeframe.

It also provides a run-time platform that will allow you to run and manage the applications you built.

It’s not a new Oracle Event Processor. It uses OEP as the underlying Event Processing Engine (you can also use Apache Spark as a processing engine, if you prefer. More on this in other articles)

The real power in Oracle Stream Analytics is, curiously, in its UI. As an application builder, it went to great lengths to keep the UI really easy to use. The result is, in my view, very well achieved, with enough simplicity to allow that Business Users, provided they have a bit of technical knowledge, can actually build  applications on their own or with little help from the IT. Read the complete article here.

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