Cost efficient alternative to databricks lock-in
Spark-based data PaaS solutions are convenient. But they come with their own set of challenges such as a high vendor lock-in and obscured costs. We show how to use a dedicated …
Cloud arbitrage for spark pipelines
Spark-based data PaaS solutions are convenient. But they come with their own set of challenges such as a high vendor lock-in and obscured costs. We show how to use a dedicated …
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 🔧.
Dagster, dbt, duckdb as new local MDS
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 …
Data Engineering in the DBT ecosystem
From the distributed monolith of CRON jobs to lazy coupling
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, …
Modern data stack in the enterprise
From the distributed monolith of CRON jobs to lazy coupling
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 …
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 …
Comparing SQL-based streaming approaches
Comparing established and up-and-coming streaming approaches for an integrated real-time data model