January 14, 2017
“It’s tough to make predictions…
By: Peter Jeffcock
… especially about the future” as a wise man once said (though check #36). But we’ve been doing this for a few years now, and 2017’s list finally made it to oracle.com/bigdata or here’s a direct link to the PDF.
With some additional help from Yogi, we did a webcast with O’Reilly back in December which is still up for you to view if you’d like some more background.
“You can observe a lot just by watching” aptly describes machine learning which was the subject of our first prediction. Simplifying hugely, ML is just the process of using an algorithm to examine data and come up with new insights. Initially the preserve of data scientist, ML is becoming more widely used and embedded in other tools and applications: everything from music recommendations to IT.
And speaking of IT tools, Oracle Management Cloud already embeds ML to do things like flagging unusual resource usage, identify configuration changes and forecast outages before they happen. Systems management is a classic big data problem, with lots of different data sources and formats, real-time data streams, and now the opportunity to apply sophisticated analytics to deliver benefits that weren’t possible before. Expect new capabilities like that in many more products this year.
We’ll do some more background posts about these predictions throughout the year. When exactly will that happen? Don’t know. After all, it’s tough to make predictions…
January 13, 2017
BIWA Summit’17, January 31 – February 2, 2017 REGISTRATION STILL OPEN
By: Charlie Berger
Sr. Dir. Product Management, Advanced Analytics and Machine Learning
BIWA Summit’17 – THE Big Data + Analytics + Spatial + Cloud + IoT + Everything Cool Oracle User Conference
January 31 – February 2, 2017 @ the Oracle HQ Conference Center in Redwood Shores, CA.
The BIWA Summit’17, held in conjunction with Spatial Summit’17 at the Oracle HQ Conference Center, annually draws several hundred customers, partners and Oracle experts who share best practices, “novel and interesting” use cases, customer case studies, and present on emerging technologies. Featured talks by Oracle executives, technical sessions delivered by experts and user friendly introductory talks make this a great event for customers. There are several 2 hour Hands on Labs running Oracle products on the Oracle Public Cloud where users can learn how to use Oracle software.
See www.biwasummit.org for full agenda and registration information.
| July 20, 2016
Internet of Things and Big Data – Better Together
By: Peter Jeffcock
What’s the difference between the Internet of Things and Big Data? That’s not really the best question to ask, because these two are much more alike than they are different. And they complement each other very strongly which is one reason we’ve written a white paper on the convergence.
Big data is all about enabling organizations to use more of the data around them: things customers write in social media; log files from applications and processes; sensor and device data. And there’s IoT! One way to think of it is as one of the sources for big data.
But IoT is more than that. It’s about collecting all that data, analyzing it in real time for events or patterns of interest, and making sure to integrate any new insight into the rest of your business. With you add the rest of big data to IoT, there’s much more data to work with and powerful big data analytics to come up with additional insights.
Best to look at an example. Using IoT you can track and monitor assets like trucks, engines, HVAC systems, and pumps. You can correct problems as you detect them. With big data, you can analyze all the information you have about failures and start to uncover the root causes. Combine the two and now you can not just react to problems as they occur. You can predict them, and fix them before they occur. Go from being reactive to being proactive.