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

Cloudera

It leverages knowledge graphs to keep track of all the data sources and data flows, using AI to fill the gaps so you have the most comprehensive metadata management solution. Together, Cloudera and Octopai will help reinvent how customers manage their metadata and track lineage across all their data sources.

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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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Apache Ozone Metadata Explained

Cloudera

As an important part of achieving better scalability, Ozone separates the metadata management among different services: . Ozone Manager (OM) service manages the metadata of the namespace such as volume, bucket and keys. Datanode service manages the metadata of blocks, containers and pipelines running on the datanode. .

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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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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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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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Data Engineering Weekly #198

Data Engineering Weekly

The blog highlights how moving from 6-character base-64 to 20-digit base-2 file distribution brings more distribution in S3 and reduces request failures. The blog is a good summary of how to use Snowflake QUERY_TAG to measure and monitor query performance. The blog post made me curious to understand DataFusion's internals.