Remove Data Integration Remove Data Pipeline Remove Data Transparency
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How the GitLab Data Team Builds a Culture of Radical Transparency

Monte Carlo

It takes work to create and maintain—and at GitLab, radical transparency means sharing almost everything. Internally and externally, from organizational structures to first drafts to self-serve data, transparency is the name of the game. For a long time, GitLab used a homegrown system in an attempt to handle data reliability.

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Data Provenance vs. Data Lineage: What’s the Difference?

Monte Carlo

Data lineage is useful for optimizing and troubleshooting data pipelines. Let’s dive deeper into the definitions of data provenance and data lineage, what they’re used for, and why they’re so important for data teams. Table of Contents What is data provenance? Image courtesy of The Morning Paper.

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Data Provenance vs. Data Lineage: What’s the Difference?

Monte Carlo

Data lineage is useful for optimizing and troubleshooting data pipelines. Let’s dive deeper into the definitions of data provenance and data lineage, what they’re used for, and why they’re so important for data teams. Table of Contents What is data provenance? Image courtesy of The Morning Paper.