Cloudera Inc. Introduces Data Management Plans for IoT


Software platform Clouera Inc is now presenting a pair of data management models that are designed to resolve the challenges associated with managing data in highly distributed IoT areas / Photo by: NicoElNino via Shutterstock


Software platform provider Cloudera Inc. presented a pair of data management models that are specifically designed to resolve the challenges associated with managing data across the highly distributed Internet of Things (IoT) environments.

Cloudera Edge Management will make it easier and simpler to handle data streaming generated by IoT devices. Meanwhile, Cloudera Flow Management provides a no-code set of tools that helps in ingesting massive data amounts. RT Insights reports both of the plans were introduced at the recent Strata Data Conference held in San Francisco, California.

It adds that the two offerings are the first products that Cloudera has launched since it sealed its merger with Hortonworks. Both of the offerings are currently being added to the open source Cloudera DataFlow platform. This platform allows organizations to employ streaming analytics to data in motion at scale.

As the DataFlow started to become widely used, it also became clear that information technology organizations also needed a framework in managing data that resides at the edge of IoT, said Vikram Makhija, Cloudera's vice president and general manager for the cloud.

According to RT Insights, Cloudera Edge Management allows edge devices to gather data with the use of a lightweight agent software installed on that device. It says that once the agent software is installed, it will then be possible not only to take control of those devices but also the data being generated with the use of a set of visual Edge Flow Manager tools.

Makhija said that that same framework can also be applied to disperse artificial intelligence (AI) models to those IoT edge devices.

On the other hand, Cloudera Flow Management provides a data ingestion engine capable of spanning as many as 300 processors. That framework also utilizes an instance of open source Apache Ni-Fi registry to gives a means for handling how data will actually flow.

The growing number of devices connected to the internet makes it evident that organizations will need to follow a different approach in managing data both as it occupies on the said platforms and as it streams into IoT gateways, on-premises IT environments, and public clouds.

With the acceleration of IoT adoption, Makhija said it is apparent that IT organizations are beginning to appreciate the fact that IoT and edge computing, in general, are basically different cases from other kinds of IT projects.