Open Group's Open Platform 3.0 takes hold of disruptive technologies

At an Open Group event, an expert discussed how big data, mobile technologies, the cloud and IoT have transformed the way businesses operate.

At the Open Group's Open Platform 3.0 in Boston, Chris Harding, director of interoperability, discussed how mobile, big data, the cloud and the Internet of Things (IoT) have given more people access to information than ever before.

"The small part that the Open Group is playing in this is defining a standards platform that will enable businesses to gain benefit from, to use effectively, the latest technologies that are contributing to the digital revolution," he said.

Established in 1996, The Open Group is a technology and vendor-neutral global industry consortium. The organization's more than 400 members encompass a range of IT roles, ranging from customers to tool vendors.

The first Open Group platform provided the foundation to deploy applications on an operating system and move them from one computer to another. The second platform ushered in the Web and made it possible to deploy solutions. The third incarceration will take things a step further with mobile, cloud and other technologies.

The benefit delivered by the third platform is the ability to integrate independently developed solutions.
Chris Hardingdirector of interoperability, the Open Group

"What I think we are going to see is the benefit delivered by the third platform is the ability to integrate independently developed solutions," said Harding. "There is a growing need for this because we are talking about interoperability between enterprises and particularly those enterprises develop their solutions independently of each other, but then want them to work together."

Making use of patterns

While there are a number of point tools available for disruptive technologies like big data, cloud, social, mobile computing and IoT, to work independently, enterprises today want to mesh them together.

Harding said a main goal of the Open Platform 3.0 is to, "integrate independently developed solutions and, the way it's looking, that will work is if those solutions use these common patterns that are appearing when we analyze how these technologies are being used."

A big data pattern would be a source of data, and a program processing the information and turning it into a usable form. An example of this would be a company obtaining information from users through a social media network like Facebook. The company could gather and then analyze the data to determine how to target an audience with specific advertisements and offers.

Chris HardingChris Harding

Harding said that is a simple pattern, but is just one of many big data applications that could follow. In such a scenario, names for people or organizations involved in the pattern can be applied.

"One of the things involved is the owner of the data, and the other thing that is involved is the subject of the data," Harding said. "You also have the source of the data, you've got the program processing the data, you've got the interface between those, so that is an example of the kind of pattern we are exposing."

To help organizations better understand how they can make use of patterns, The Open Group published 22 use cases for big data, cloud, social and mobile computing technologies. The use cases delve into a variety of segments including healthcare, applications and electric cars. The examples showcase how patterns can be implemented and where common patterns are derived from.

"I believe that by defining the platform in terms of those patterns, that is what is going to give the benefit for the integration of independently developed solutions," Harding said. "Of course associated with those patterns will point to the standards that are needed for particular interfaces within them."

Maxine Giza is the site editor for SearchSOA and can be reached at mgiza@techtarget.com.

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