Pixi is a tool which enables efficient dependency handling. It is created from prefix.dev, built in Rust and very fast. For us at Magenta Telekom in Austria Pixi is beneficial as we build our new data platform around metadata and strong governance and an explicit graph of data dependencies. In this talk we share our experience with Pixi and how it empowers our data infrastructure - in conjunction with Dagster.
Jan 31, 2025
Lean and efficient MDS experience: Delivers better software engineering practices to the data ecosystem with the new local MDS stack comprised of Dagster, dbt and DuckDB which offers better developer productivity by enhancing testability of the E2E pipeline.
Dec 11, 2023
Resolving the pain of the distributed data monolith with governance and orchestration. Code examples of a similar previous talk: https://github.com/geoHeil/dataengineering-meetup-vienna-2023-05 Date: 2023-09-06
Sep 6, 2023
๐ Unleash the power of metadata extraction in your data engineering pipelines with the new DBT API in Dagster! ๐ Learn how to seamlessly integrate and leverage DBT transformations, while enriching your data catalog with advanced metadata. Elevate your data governance and collaboration to new heights!
Jun 13, 2023
Resolving the pain of the distributed data monolith with governance and orchestration. Code examples: https://github.com/geoHeil/dataengineering-meetup-vienna-2023-05 Date: 2023-05-10
May 10, 2023
Comparing established and up-and-coming streaming approaches for an integrated real-time data model
Apr 1, 2022
Simplify data ingestion with the plentiful connectors of Airbyte without compromising on data lineage
Mar 4, 2022
Include jupyter notebooks into reliable data pipelines.
Mar 4, 2022
A full example E2E
Mar 4, 2022
Flip the data pipeline to get a better notion about the things we actually care about: data assets not transformations.
Mar 4, 2022