Data Orchestration
The what and why of Dagster#
Welcome to Dagster! If you’re here, you probably have questions about data, orchestration, Dagster, and how everything fits together.
Let’s start with the basics: What’s an orchestrator?
Orchestrators allow you to automatically execute a series of steps and track the results. They not only enable you and your team to see... See more
Welcome to Dagster! If you’re here, you probably have questions about data, orchestration, Dagster, and how everything fits together.
Let’s start with the basics: What’s an orchestrator?
Orchestrators allow you to automatically execute a series of steps and track the results. They not only enable you and your team to see... See more
The what and why of Dagster | Dagster Docs
What is Kestra
Kestra is a universal open-source orchestrator that makes both scheduled and event-driven workflows easy. By bringing Infrastructure as Code best practices to data, process, and microservice orchestration, you can build reliable workflows and manage them with confidence.
In just a few lines of code, you can create a flow directly from... See more
Kestra is a universal open-source orchestrator that makes both scheduled and event-driven workflows easy. By bringing Infrastructure as Code best practices to data, process, and microservice orchestration, you can build reliable workflows and manage them with confidence.
In just a few lines of code, you can create a flow directly from... See more
GitHub - kestra-io/kestra: Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
The last core data stack tool is the orchestrator. It’s used quickly as a data orchestrator to model dependencies between tasks in complex heterogeneous cloud environments end-to-end. It is integrated with above-mentioned open data stack tools. They are especially effective if you have some glue code that needs to be run on a certain cadence,... See more
Data Engineering • The Open Data Stack Distilled into Four Core Tools
So what abstractions do we have as of today? For example, let’s take the resource abstraction (Dagster, Prefect, referred to as an operator in Airflow). You abstract complex environments and connections away with a simple construct like that. You have the immediate benefits of defining that once and using it in every task or pipeline with... See more