TYPHON

This project received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 780251.

 

The need for levels of availability and scalability greater than those offered by relational databases has sparked the appearance of a new generation of databases for specific uses grouped under the NoSQL umbrella. In general, NoSQL databases, which are designed with horizontal scalability as their primary feature, offer greater availability and fault tolerance, in exchange for a lack of consistency over time and decreased data durability. To balance the need for data consistency and availability, organizations are increasingly migrating to hybrid data architectures that combine both relational and NoSQL databases. There is agreement in that this trend will grow in the future; critical data will continue to be stored in ACID databases (primarily relational), while non-critical data will be migrated to high-availability NoSQL databases.

Tracking large volumes of hybrid data

The constant growth in the volume and value of plain language content also makes it increasingly necessary to include support tools for processing complex texts in data persistence architectures. The purpose of TYPHON is to provide a methodology and integrated technical solution for the design, development, research, and advancement of scalable architectures for the persistence, analytics, and tracking of large volumes of hybrid data (relational, graphics-based, document-based, plain language, etc.). TYPHON participants include research entities with a long history of conducting first-class international research in the field of software modeling, domain-specific languages, text mining and data migration, as well as the production of data resulting from their research in the form of wide distribution robust open source software; organizations from the world of industry operating in the automotive and Earth observation sectors; banking institutions and toll road operators; an industrial consultancy group made up of leading experts in the field of databases, business intelligence  large-scale data analysis and management; and a global consortium made up of over 400 organizations from all information technology sectors.