Aeris Blog

The Big Data Challenges of IoT

June 28, 2014

iStock_000001925982_MediumBusinesses can’t wait to get involved with The Internet of Things, but many have yet to develop a strategy for how to take advantage of the “Big Data” generated by IoT.

In an article this week in Forbes, “The Internet Of Things Will Radically Change Your Big Data Strategy,” Mike Kavis outlines “how woefully unprepared most data centers are for the massive amount of data coming from all of the ‘things’ in the near future.”

Companies that set out to take advantage of machine-to-machine (M2M) data transmissions are often unable to handle the data and use it for their advantage. In practice, many companies haven’t taken the steps necessary to mange an IoT solution.

“Processing all of the data from the IoT is an exercise in big data that boils down to three major steps: data ingestion (harvesting data), data storage, and analytics,” Kavis writes. “The value to the business of big data is in the analytics, whereas, the data ingestion and data storage is cost of doing business and is becoming a commodity. Experts estimate that over half of all big data projects fail and most of those failures are due to projects never getting past the data ingestion phase.”

Kavis says that, to be successful, most companies will need help managing the complexity involved in developing a Big Data plan.

“Large data volumes from IoT will drive radical changes within today’s datacenters and will require new Big Data strategies within enterprises,” Kavis says. “Due to a skills shortage and the need to constantly procure infrastructure to keep up with the amounts of incoming data, enterprises will start moving away from the DIY (Do-It-Yourself) models towards PaaS (Platform-as-a-Service), managed, and orchestrated solutions. The value of IoT is in the data. The quicker enterprises can start analyzing their data the more business value they can derive. Vendors are stepping up to the plate to remove the complexity and risks of data ingestion and data management so that customers can focus on analytics.”

A provider of cellular machine-to-machine (M2M) communications and IoT solutions, Aeris Communications is addressing the need to manage Big Data with AerCloud.

Designed with an open-source, data-centric architecture, AerCloud allows M2M solution providers, connected product manufacturers and application developers to collect and store data, and mine the data for critical business insights, or publish the data to applications and third parties.

Offering analytics-as-a- service, AerCloud operates at webscale and lets businesses use M2M applications to leverage their most valuable data.

Aeris customer will be able to leverage AerCloud to their advantage as IoT ramps up.

“Watch this space closely,” Kavis says. “The winners will win big.”

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