The Current State of Column-level Lineage
Column-level lineage helps organizations navigate a complex regulatory landscape.
Column-level lineage helps organizations navigate a complex regulatory landscape.
The Python client enables users to create custom integrations.
A new collaboration between Microsoft and OpenLineage is making lineage extraction possible for Azure Databricks and Microsoft Purview users.
The OpenLineage Adapter offers Snowflake's enterprise users a powerful tool for analyzing their pipelines.
The Egeria project uses OpenLineage to enhance its production of holistic metadata about an organization's operations.
At Data Agility Day 2021, Julien Le Dem and Kevin Mellott outlined their approach to data lineage and discussed various approaches to implementing it in the real world.
Spark ushered in a brand new age of data democratization... and left us with a mess of hidden dependencies, stale datasets, and failed jobs.
Northwestern Mutual is building an Enterprise Data Platform. In this guest blog, learn about the experiences and decisions that led them to embrace the OpenLineage and Marquez communities.
Each time dbt runs, it generates a trove of metadata about datasets and the work it performs with them. In this post, I’d like to show you how to harvest this metadata and put it to good use.
We are pleased to announce the initial release of OpenLineage. This release includes the core specification, data model, clients, and integrations with common data tools.