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Leveraging IoT and Organizing its Constant Stream of Data


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As massive amounts of data continue to flow into enterprises, managing and analyzing data coming from devices will be the biggest challenge for businesses interested in capitalizing on the Internet of Things.

“Although IoT is relatively new, there are some components that have been around and used for a long time,” said Brian Clark, vice president of products at Objectivity, during a recent DBTA webinar.

IoT is comprised of big data and fast data, Clark explained. Big data is comprised of historical data of all structures mined for information, is usually synonyms with Hadoop and requires storage, curation, and advanced analytics whereas fast data streams in from sensors, social media, and connected devices. Fast data is generated by legacy applications and requires real-time interaction.

By 2020, it’s projected that the number of connected objects will reach 50 billion, Clark noted. This will generate massive data volumes at high speed.

To help store, analyze, and gain insights from this data effectively, Clark said Objectivity’s ThingSpan Platform would help leverage IoT in a simple way.

Along with these functions, Reiner Kappenberger, global product management at HPE Security - Data Security, noted that securing this information is just as important as leveraging it.

“The one aspect you should not disregard or push on to a later stage is security,” Kappenberger said. According to Kappenberger, a variety of security methods, including encryption, should be used to lock down IoT data and protect it from threats.

To view a replay of this DBTA webinar, go here.


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