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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

Cloudera, together with Octopai, will make it easier for organizations to better understand, access, and leverage all their data in their entire data estate – including data outside of Cloudera – to power the most robust data, analytics and AI applications.

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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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How Meta discovers data flows via lineage at scale

Engineering at Meta

In this blog, we will delve into an early stage in PAI implementation: data lineage. This took Meta multiple years to complete across our millions of disparate data assets, and well cover each of these more deeply in future blog posts: Inventorying involves collecting various code and data assets (e.g.,

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How Meta understands data at scale

Engineering at Meta

Each product features its own distinct data model, physical schema, query language, and access patterns. Understanding DataSchema requires grasping schematization , which defines the logical structure and relationships of data assets, specifying field names, types, metadata, and policies.

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The Data Turf Wars are Over, But the Metadata Turf Wars Have Just Begun

Cloudera

And for that future to be a reality, data teams must shift their attention to metadata, the new turf war for data. The need for unified metadata While open and distributed architectures offer many benefits, they come with their own set of challenges. Data teams actually need to unify the metadata. Open data is the future.

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Cloudera and Snowflake Partner to Deliver the Most Comprehensive Open Data Lakehouse

Cloudera

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

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Metadata Management and Data Governance with Cloudera SDX

Cloudera

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.