One Minute: DatAasee

#oneminute #dataengineering #database #metadatalake

DatAasee is a metadata-lake to aggregate and centralize bibliographic and research-data metadata from distributed data and metadata sources to improve discoverability and FAIRness.

Features: REST-like CQRS HTTP-API, Faceted Search, Full-text Search
Interface: OpenAPI, JSON, JSON API, JSON Schema
Query Languages: SQL dialect, Cypher, Gremlin, MQL, GraphQL
Ingest Protocols: OAI-PMH, S3
Ingest Encoding: XML
Ingest Formats: DataCite, DublinCore, MARC, MODS
Deployment: Compose, Docker-Compose, Podman-Compose, K8s (via Kompose)
Components: ArcadeDB, Connect, Lowdefy
License: MIT

Website: https://ulbmuenster.github.io/dataasee
Repository: https://github.com/ulbmuenster/dataasee
Companion Paper: https://arxiv.org/abs/2409.05512

Hands-on debugging session: instrument, monitor, and fix

Join Lazar for a hands-on session where you’ll build it, break it, debug it, and fix it. You’ll set up Sentry, track errors, use Session Replay and Tracing, and leverage some good ol’ AI to find and fix issues fast.

RSVP here →