Discovering IoT Data at the Edge

Enterprises are struggling to see value from their IoT implementations. Getting real-time data from edge devices sounds simple but isn’t.

Challenges include network availability, latency, cost of roundtripping between the edge and the enterprise, monitoring, etc.

Edge Management is the ability to manage and monitor thousands of edge agents that are deployed in or near the edge devices to enable edge data collection, enhance edge processing, and streamline management of data from edge to enterprise.

DBTA recently held a webinar with Dinesh Chandrasekhar, director, product marketing & lead IoT strategist, Cloudera, who discussed how enterprises can take advantage of edge management in IoT initiatives.

According to Chandrasekhar, who cited a McKinsey study, through 2016, just 16% of manufacturers had adopted Industrial IOT strategies.

Businesses face a data management challenge, he explained. There is the inability to leverage both OT and IT data sources in real-time.

“Your IoT implementation is only as good as your ability to acquire and analyze the real-time data generated by your IoT devices,” Chandrasekhar said.

There are three models for intervention and maintenance in a connected world:

  • Corrective - Maintenance performed after equipment fails
  • Preventative - Maintenance performed on a set schedule (time or usage)
  • Predictive – Real-time - Maintenance based on actual, real-time, conditions

Data collection at the edge is important because there is a need for real-time insights, the ETL process is not in real-time, and there is a need for data provenance.

Cloudera DataFlow can help with edge management, Chandrasekhar said. The platform can handle flow management, stream processing, and streaming analytics.

Another solution that can help companies manage IoT at the edge is the Cloudera Edge Management platform.

Cloudera Edge Management (CEM) is an edge management solution made up of edge agents and an edge management hub, he explained.

It manages, controls, and monitors edge agents to collect data from edge devices and push intelligence back to the edge. CEM allows enterprises to develop, deploy, run and monitor edge flow apps on thousands of edge devices.

An archived on-demand replay of this webinar is available here.