Whether it's powering dashboards to generate periodic reports, or running ad hoc analysis, data exploration and investigation, SQL forms the foundational language for data recall and interrogation tasks performed by data analysts and scientists the world over.
Existing databases can't handle the complex, multidimensional spatial data generated by IoT, connected vehicle and telecommunications activity. Querying is slow and costly, requiring full table scans to return results, and analytics can't scale to match the demands of modern data environments.
New data applications require costly, bottom up rebuilds, and are limited in their flexibility to accommodate new data sources and changing use case requirements. Innovation potential is reduced and the full value potential of data remains unrealised.
The connected vehicle revolution already generates unprecedented amounts of data. But are providers making the most of its value potential?
Many telecomms and IoT companies recognise the value potential of data but are stuck as infrastructure providers, unable to extract value from the tidal waves of data flowing through their networks.
The city is at the heart of a tidal wave of new data generation. To make the most of it, cities need digital infrastructure able to handle the complex ecosystem of physical world datasets at their fingertips.