Storage Made Easy for Jaguar Land Rover’s data

26 April 2018

JLR analyses more than a terabyte of data created each day from test drive sensors and ad hoc measurements from 400 dataloggers. PHOTO: JAGUAR LAND ROVER

JLR analyses more than a terabyte of data created each day from test drive sensors and ad hoc measurements from 400 dataloggers. PHOTO: JAGUAR LAND ROVER

Jaguar Land Rover (JLR) is accessing data stored securely on Google with the help of Storage Made Easy.

Said to be the UK’s largest automotive manufacturer, JLR uses National Instrument’s DataFinder to index and analyse more than a terabyte of time-series data created each day.

This is generated from test drive sensors and measurements, as well as ad hoc measurements from 400 dataloggers in the power train calibration and controls department.

All the information is saved directly on Google Cloud Storage (GCS), but the challenge has been how to take advantage of the cloud for increased durability and agility when the application can only index and manage data from file-based storage systems.

Storage Made Easy reckons its Google Storage Drive allows applications and end users to connect to GCS as if it was a local read-write hierarchical file system. It says the drive allows JLR to move its data management and analytics platform to Google Cloud with minimal migration costs.

The company adds that its platform is optimised for large data sets and deep folder hierarchies, and does not obfuscate object metadata, allowing concurrent access by apps directly to GCS.

JLR data analysis engineer Maxime Lecuona says: “We are planning on leveraging this new platform to gain in flexibility and ultimately provide our services to a wider portion of the company. Storage Made Easy’s Google Storage Drive is allowing us to transfer our current infrastructure to this new environment with minimal change to the existing code.”