Unlocking Advanced Metadata Extraction with the New DBT API in Dagster
📊 Unleash the power of metadata extraction in your data engineering pipelines with the new DBT API in Dagster! 🚀 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
Modern data stack in the enterprise
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
Governance and pipelines in the modern data stack
The data orchestrator is at the heart of the data pipelines. We start by exploring how a modern data orchestrator drastically eases the development of pipelines. Then we will see how govanance can be conducted efficiently in a MDS-based setup.
Dec 8, 2022
Orchestrating data in the mesh of the fragmented modern data stack
The fragmented modern data stack has emerged as the unbundling of Airflow. Various tools operate in silos. Dagster as a next-generation data orchestrator allows you to clearly see the data dependencies of the individual pipelines on your data factory floor.
Apr 27, 2022
Comparing SQL-based streaming approaches
Comparing established and up-and-coming streaming approaches for an integrated real-time data model
Apr 1, 2022
SFTP sensor
Way too many data pipelines still work with SFTP file transfer. Even a modern data orchestrator needs to interface here well.
Mar 4, 2022
Connector goodness from Airbyte E2E lineage
Simplify data ingestion with the plentiful connectors of Airbyte without compromising on data lineage
Mar 4, 2022
Scalable data pipelines from dagster with pyspark
Getting started with simple dagster pipelines.
Mar 4, 2022
Tame your notebooks
Include jupyter notebooks into reliable data pipelines.
Mar 4, 2022
Fully-fledged example with resources
A full example E2E
Mar 4, 2022