Nowadays, the vast amount of produced mobility data (by sensors, GPS-equipped devices, surveillance networks, radars, etc.) poses new challenges related to mobility analytics.
In many application, such as maritime or air-traffic data management, data analysis of mobility data requires weather information related to the movement of objects, as this has significant effects on various characteristics of its trajectory (route, speed, and fuel consumption).
During the BDV PPP summit in Riga, 26-28 June, BigDataStack will join the discussions on use case and governance at the Policy4Data panel. Mauricio Fadel, of NEC, will be addressing “ Lowering barriers for the adoption of big data analytics”
The ATOS Use-Case
BigDataStack is organising a series of three webinars for end-users to learn more about the Technologies developed within the project and put to practice in the three use cases.
The organisations using the BigDataStack technologies in these use-cases will explain how they are using these technologies and how they will improve the end-users life.
BigDataStack technology providers will explain the technologies used in more detail and answer any questions you may have about using these technologies in your organisation.
Enterprises today often have to use different database systems to fulfil different purposes, combining data coming from different data sources is not an easy task, while moving data from one source to the other is cost-demanding and requires ETLs and offline batch processing, which are often performed at night. Existing solutions today for polyglot applications often introduces the concept of datalakes or implements a federation on top of different sources in order to provide an easy way for common access. However, all these solutions are referring to different data sources, while for federation they are using technologies like Spark, which can be very resource consuming and cannot exploit the specific capabilities of each different data store.