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Tomorrow’s Cars Need Modern Data Management Today

By Catherine Chiang on March 14, 2018

The Internet of Things is transforming industries across the board, and the automotive industry is no exception. From connected cars to autonomous vehicles, big changes in automotive technology are creating big data.

Automotive data is increasingly machine-generated and growing. For example, an autonomous car has multiple sensors that collect information about the car’s surroundings.

The photo below shows what Google’s self-driving car sees when making a left turn. It’s a ton of data, which results in 750 megabytes of sensor data collected per second!


Another mind-boggling figure: Due to the amount of sensor data, autonomous cars may soon need a terabyte or more of on-board storage capacity...per car!

It’s not just autonomous cars; connected cars, or vehicles equipped with data connectivity, are also generating petabytes of data used for vehicle maintenance, safety assistance, and more--and the number of connected cars is growing quickly.

Connected cars will upload 25 gigabytes of data per hour to the cloud. And Gartner predicts that by 2020, there will be 250 million connected cars on the road.

Beyond the sheer volume of data, the automotive industry faces challenges with growing amounts of unstructured data.

As computer-aided design moved from 2D to 3D models, unstructured file data grew much larger. In the near future, virtual reality may revolutionize automotive design—further increasing the amount of data generated during the design process.

In addition, car manufacturers are developing and using software crash simulations to supplement car safety testing. As these digital models become more detailed, they also generate larger amounts of unstructured data.

There’s no question that the automotive industry will need modern data management solutions to meet the challenges of these new technological trends.

Requirements include:

  • Scale-out architecture that effortlessly and cost-effectively scales with growing storage capacity demands
  • Hybrid cloud approach that combines the ease of cloud with the convenience of on-premises infrastructure
  • as-a-Service delivery that takes care of remote monitoring, non-disruptive software updates, and troubleshooting to free up IT time and resources

Interested in learning more about how modern data management can help your business succeed in building the cars of tomorrow? Contact us!

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Catherine Chiang

Written by Catherine Chiang

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