Cost efficient alternative to databricks lock-in
Save money 💰 and increase developer productivity 👩💻👨💻 by limiting scope-creep of Spark-based data PaaS solutions: 🌐 turn them into an implementation detail 🔧.
Save money 💰 and increase developer productivity 👩💻👨💻 by limiting scope-creep of Spark-based data PaaS solutions: 🌐 turn them into an implementation detail 🔧.
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 …
From the distributed monolith of CRON jobs to lazy coupling
📊 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, …
From the distributed monolith of CRON jobs to lazy coupling
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 …
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 …
Comparing established and up-and-coming streaming approaches for an integrated real-time data model
Way too many data pipelines still work with SFTP file transfer. Even a modern data orchestrator needs to interface here well.
Simplify data ingestion with the plentiful connectors of Airbyte without compromising on data lineage