There was a time when a warning light flashed on your car dashboard, your heart would skip a beat, and you would google for the owner's manual to find out what it meant.
The connected car changes that forever. In-car sensor data is combined with information collected from other like-modelled cars to predict and prevent the impending part failure before it happens. That data can be shared with your connected workshop, enabling an appointment to be automatically scheduled – with the problem already identified and parts pre-ordered if required.
This example is not the future; it is happening today and shows how far we have come in terms of technology and the "things" that we interact with each day.
This doesn't just apply to cars, of course. Things are becoming smarter and more interconnected than ever.
The underlying mechanisms are incredibly complicated for the human mind to understand. Yet the continuous evolution is making many aspects of life simpler and more convenient for people in general and the organisations in which we work.
Data-driven technology is changing our perception of what "things" are. From smart thermostats that adjust the temperature to match your schedule and reduce electric bills to CCTV cameras in stores which analyse customer movements to assist in better product placement, these edge devices have become smarter.
Now that these "things" that lie at the edge are connected, they can be used to collect and transmit data to improve daily life and business efficiency. The challenge is to collate the data from these connected devices, do so at scale, analyse it in real-time, make macro observations and send tactical insights back to the edge. If that's not hard enough, this has to happen at the speed of thought.
The answer to this challenge lies in the concept of Enterprise Data Cloud.
Cloudera's Enterprise Data Cloud provides the features that enable real-time insights from and to the edge to be a reality:
Hybrid and multi-cloud: Manage, analyse and experiment with data in any cloud environment.
Multi-function: Apply multiple analytic functions such as data warehousing, data science and iterative machine learning across shared data sets at scale.
Secure and governed: Simplify and maintain strict data privacy compliance across diverse data sets.
Open: 100% open, eliminating vendor lock-in, supporting open compute and storage and maximising vendor interoperability.
The cars we drive in our data-driven future won't get us to our destination faster as a result of how quickly they can accelerate from 0 to 60 mph; they will get us there faster, more safely and fuel efficiently because of how quickly they can analyse data as we drive!
Cloudera has delivered the industry's first-ever Enterprise Data Cloud with the Cloudera Data Platform. Whether you stream data from cars, cameras, door sensors or anything else at the edge, this platform can help. For further information, click here.