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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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Certified technical partner solutions help customers succeed with Cloudera Data Platform

Cloudera

Gluent provides functionality to move data from proprietary relational database systems to Cloudera and then query that data transparently. The presentation of data from Cloudera within proprietary database systems is also supported. Certified Data Quality Partner. Certified Machine Learning Partners.

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

Monte Carlo

While both data provenance vs. data lineage are mechanisms for understanding data at early stages, they differ in use cases. Data provenance is useful for validating and auditing data. Data lineage is useful for optimizing and troubleshooting data pipelines.

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

Monte Carlo

While both data provenance vs. data lineage are mechanisms for understanding data at early stages, they differ in use cases. Data provenance is useful for validating and auditing data. Data lineage is useful for optimizing and troubleshooting data pipelines.