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The minutes of the meetings for the Data Architecture and Infrastructure pillar of the Data Expert Group.
Historical note: the minutes for the previous project, the CVII Tech Stack, can be found here: CVII Technology Stack meeting notes
16th November 2022
- Brief recap of Covesa project status
- Continuing discussion of future work
- Paul: what would people like to see?
- Felix: interested in GraphQL and connection of databases as data back-end. Along with what benefits data store may enable, e.g. processing at the edge.
- Nick: ability for apps devs to discover what signals are available and on what terms, e.g. frequency.
- Answered Felix's question about what work had gone on before.
- Future is very much open to be set by the group. Cloud needs picking up again - with VSS/VISS now established the original work on CCS could move to other aspects. In-vehicle the component landscape is sketched but much work to be done selecting patterns based on data needs.
- Steve showed a draft high level data arch diagram showing the proposed Autosar gateway communicating with QM data architecture.
- Agreement that the interest around data architecture presented and discussed at the AMM is a useful starting point both for PoC investigation and likely creation of data patterns. Let's continue the discussions with a view to creating a strategy.
9th November 2022
- Introductions as we have newcomers Felix Reichenbach (MongoDB) and Francois Ozog (Shokubai.tech)
- Project updates
- Steve summarises VSS, VSC, VSSo status and EG Leadership discussions around governance and project reporting
- Roadmap
- Discussion of possible data patterns. What are people interested in?
- Felix: One area is GraphQL data server shown in the architecture. Would be interesting to have embedded implementation backending to data store.
- Steve outlines some of the work to date on that including the GraphQL libraries in the Covesa github.
- Francois outlines his interests around function abstractions.
- Steve summarises work in that area in Covesa and suggests background reading.