Scaling Data Pipelines @Magenta Telekom
Making humans and machines collaborate efficiently.
Making humans and machines collaborate efficiently.
A comprehensive guide to modern data engineering with local-first development practices
Jumpstart your data processing with this local modern data stack template
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 …
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 …
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 …
📊 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, …
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 …
Good quality network connectivity is ever more important. For hybrid fiber coaxial (HFC) networks, searching for upstream \emph{high noise} in the past was cumbersome and …