First “Little” Data, then Big Data

The quantity of digital data has exploded to roughly 2.5 quintillion bytes of data being created every day from a seemingly unlimited number of embedded devices and sensors in the world.  An increasing number of enterprise companies need to capture and analyze large data sets from the field – and need Internet of Things solutions to make it happen.

IoT scenario: data come from sensors in the field, M2M IoT Gateways, Integration Platform and Business Apps

If your company fits into this category, you are likely putting a strategy in place to bolster your IT infrastructure to capture and analyze these large data sets in 2015.

Modern applications have several distributed systems – consider a city bus for example. Data could be collected from a number of producers including a passenger counter, cameras, a fare collection system and a fleet management system. Then, the data may be transmitted to multiple data consumers such as customer displays in the bus depot, an application that provides transit information via cell phone, a back end system for bus maintenance, and an accounting system for fare collection. These disparate systems all need access to the data.

There is always going to be a growing enterprise demand to have the data both available and fresh, and without proper planning and architecture decisions, these types of IoT deployments will have vastly limited effectiveness.

The key here – and the answer to your IT infrastructure problems in 2015 – is an IoT Integration Platform based on the proper building blocks to simplify the capture and analysis of big data collected from heterogeneous sources.  You need a “glue” to connect disparate systems to the business application.  A standards-based, open and cloud-centric IoT Integration Platform is the glue.

The proper platform must be optimized for device data communication, collection, analysis and management.  An IoT Integration Platform is designed to act as an intermediate system between the distributed devices and the applications using the big data coming from these devices. The ideal platform functions like an operating system for the Internet of Things, enabling the transfer of device data independent of any other language, platform or operating system to and from enterprise applications.

On the device side, an IoT Integration Platform should include the broker technology to publish and subscribe data from the vast network of IoT devices but also provide tools for device management including software, firmware and configuration. Managing the devices is just as important as managing the data.

For the enterprise, the Integration Platform first and foremost has a robust set of connectors with the ability to quickly add more as new services and technologies emerge. The platform provides the tooling services and interfaces to get the data as needed into the big data, analytics and business solutions that support the business processes.

Now, go forth and remember – the key to success is capturing and making good use of all of that big data created by connected things.

Start now! Boostrap your M2M/IoT Project!

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