#OOW2013: Internet of Things... and Big Data
By Eric Bezille-Oracle on sept. 29, 2013
As promised in my first entry few weeks ago, in preparing Oracle
OpenWorld, I am coming back to IoT: Internet of Things... and Big Data.
As this was the closing topic develop by Edward Screven, Chris Baker and
Deutche Telekom, Dr. Thomas Kiessling. Of course, Big Data and Internet
of Things (or M2M - Machine2Machine) have been topics not only covered
the last day, but all along the conference, including in JavaOne, with 2
interesting sessions from Gemalto. Gemalto even developed a kit to test
your own use cases for M2M. Internet of Things is opening new
opportunities but also challenges to overcome to get it right, that at
Oracle we classify in 3 categories : Acquire & Transmit, Integrate
& Secure, and Analyze & Act.
Acquire & Transmit
Just think of potentially billions of devices that you need to remotely deploy, maintain, update, insure proper transmission of data (the right data at the right time - as your power budget is constrain) and even extend decision making closer to the source. With standards-based Java platform optimized for devices, we are already covering today all those requirements, and are already involved in major Internet of Things projects, like the Smart Grids or Connected Cars.
Integrate & Secure
Of course integrating -securely- all the pieces together is key. As you want it 1) to reliably work with potentially a very large amount of devices and 2) not be compromised by any means. Here again, at the device level, Java is providing the intrinsic security functions that you need, from secure code loading, verification, and execution, confidentiality of data handling, storage, and communication, up to authentication of entities involved in secure operations. And we are driving this secured integration up to the Datacenter, thanks to our comprehensive Identity and Access Management system, up to Data masking, fraud detection, and built-in network security and encryption.
Analyze & Act
Last but not least, is to analyze and correlate those Data and take appropriate actions. This is where M2M and Internet of Things link to Big Data. There are different things that characterize "Big Data" : Volume, Velocity (time & speed), Variety (data format), Value (what is really interesting in those data related to my business), Vizualization (how do I find something in this, of value ?), Veracity (insure that what I will add into my trusted data (DWH...) coming from those new sources is something validated. In M2M, we don't always have Volume, but we still have the other "Vs" to take care. To handle all this IoT generated information inside the Datacenter, and do correlation with existing Data relevant to your customer business (being ERP, Supply Chain, quality tracking of supplier, improving purchasing process, etc...), you may need need tools. That's why Oracle developed the Oracle Big Data Appliance to build an "HPC for Data" grid including Hadoop & NoSQL to capture those IoT data, and Oracle Exalytics/Oracle Endeca Information Discovery, to enable the vizualisation/discovery phase. Once you pass the discovery phase we can act automatically in real time ! on the specific triggers that you will have identified, thanks to Oracle Event Processing solution.
As you see, Oracle Internet of Things platform enables you to quickly develop and deliver, securely, an end-to-end solution.
The end result is a quick time-to-market for an M2M project like the one presented on stage and used live during the conference. This project was develop in 4 weeks, with 6 individuals ! The goal was to control the room capacity and in/out doors live control depending on the participants flow in the room. And as you can see in the architecture diagram we are effectively covering from Java on the device up to Exalytics in the Datacenter.