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getstrm avatar

getstrm/pace

0
View on GitHub↗
39 estrellas·1 fork·Kotlin·Apache-2.0·5 vistaspace.getstrm.com↗

Pace

Data policy IN, dynamic view OUT: PACE is the Policy As Code Engine. It helps you to programatically create and apply a data policy to a processing platform like Databricks, Snowflake or BigQuery (or plain 'ol Postgres, even!) with definitions imported from Collibra, Datahub, ODD and the like.

Features

  • Workflow Orchestration - Framework for enforcing data access and transformation agreements.

Historial de estrellas

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Ver las 11 alternativas a Pace→

Preguntas frecuentes

¿Qué hace getstrm/pace?

Data policy IN, dynamic view OUT: PACE is the Policy As Code Engine. It helps you to programatically create and apply a data policy to a processing platform like Databricks, Snowflake or BigQuery (or plain 'ol Postgres, even!) with definitions imported from Collibra, Datahub, ODD and the like.

¿Cuáles son las características principales de getstrm/pace?

Las características principales de getstrm/pace son: Workflow Orchestration.

¿Qué alternativas de código abierto existen para getstrm/pace?

Las alternativas de código abierto para getstrm/pace incluyen: apache/airflow — Airflow is a platform for programmatically authoring, scheduling, and monitoring complex data pipelines. It functions… bruin-data/bruin — Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end… dagster-io/dagster — Dagster is a data orchestration platform designed to manage the entire lifecycle of data assets through declarative… dagworks-inc/hamilton — Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode… dotflow-io/dotflow — 🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines. kestra-io/kestra — Kestra is a declarative workflow orchestrator designed to manage complex task dependencies and automated processes…