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Level Up Your Data Platform With Active Metadata

Data Engineering Podcast

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. In order to level up their value a new trend of active metadata is being implemented, allowing use cases like keeping BI reports up to date, auto-scaling your warehouses, and automated data governance.

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Metadata Management and Data Governance with Cloudera SDX

Cloudera

This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. First, a set of initial metadata objects are created by the data steward.

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Metadata Management & Data Governance with Cloudera SDX

Cloudera

This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. First, a set of initial metadata objects are created by the data steward.

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Metadata Management And Integration At LinkedIn With DataHub

Data Engineering Podcast

The key to those solutions is a robust and flexible metadata management system. LinkedIn has gone through several iterations on the most maintainable and scalable approach to metadata, leading them to their current work on DataHub. What were you using at LinkedIn for metadata management prior to the introduction of DataHub?

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Databook: Turning Big Data into Knowledge with Metadata at Uber

Uber Engineering

Data powers Uber’s global marketplace, enabling more reliable and seamless user experiences across our products for riders, … The post Databook: Turning Big Data into Knowledge with Metadata at Uber appeared first on Uber Engineering Blog.

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The Data Discovery Team

Jesse Anderson

A Guest Post by Ole Olesen-Bagneux In this blog post I would like to describe a new data team, that I call ‘the data discovery team’. And that is what the data discovery team that I propose in this blog post should work on: searching for data. In an enterprise data reality, searching for data is a bit of a hassle.

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September 2021 dbt Update: DAG in the IDE + Metadata API in GA

dbt Developer Hub

Give Jeremy a win and check out the blog he just posted on why this matters even more leading up to ?dbt Embedding the DAG within the IDE makes investigating project structure a lot easier The Metadata API : Now in GA! While we're throwing W's, don't forget to also register for his talk at Coalesce now !