Are You Ready for IoT Data Overload?

Is your organization ready for the IoT world?

By 2020, IDC predicts that there will be a shocking 30 billion connected IoT endpoints, each of which generates, transmits, and receives sensor data. Juniper Research sees the IoT market growing even larger by then, with an ecosystem that reaches 38.5 billion devices.

Does it really matter which research firm ends up with the most accurate prediction? 

Either way, it’s safe to say that the IoT market is expanding at an impressive clip and that we’re rapidly approaching an era of data overload that could make the concept of “big data” seem more like a blip on the radar.

As 5G networks start to come online, mobile use will increase, as data moves faster and faster. Beyond that, other devices—like robots, security cameras, and smart cars—will also be sending and receiving more data.

Add it all up, and organizations that expect to thrive in an IoT and 5G-powered world need to rethink their data management strategies to prepare for the future.

How to Thrive in an IoT and 5G World

In large part, most organizations today rely on infrastructure that simply isn’t capable of accommodating this massive influx of new traffic in any way that aligns with user expectations. To be in a position where they can thrive in the future, enterprises need to start preparing for this shift today.

An easy way to do that is by developing a cloud strategy that works best for your unique needs. For example, a global organization might implement a multi-cloud deployment that allows them to keep data confined to specific geographic regions (e.g., for GDPR compliance). At the same time, a different organization might decide to implement a hybrid cloud environment, which lets them keep data on-premises, close to the edge, and in the cloud—taking advantage of the cost-effectiveness and convenience of the public cloud and the privacy and security of a private cloud.

Unlocking the full value of either cloud deployment scenario starts with an underlying hybrid or multi-cloud database model that ensures uptime and high performance while eliminating data silos.

For example, a database built with distributed data architecture enables you to ensure that your users are always engaging with up-to-date real-time data that’s delivered instantly—which is everything an IoT user needs and expects.

If your organization is planning to make waves in the IoT and 5G world, you need to be sure that you’re ready to conquer the data overload that will be coming your way. It’s that simple.

To learn more about how DataStax, the world’s only active everywhere database built on open source Apache Cassandra™, can help your organization prepare for the increasingly closer IoT- and 5G-powered world, check out this short video.