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Cloudera Data Engineering 2021 Year End Review

Cloudera

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. Securing and scaling storage. This also enables sharing other directories with full audit trails.

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Ducklake: A journey to integrate DuckDB with Unity Catalog

Xebia

Unity Catalog gives you centralized governance, meaning you get great features like access controls and data lineage to keep your tables secure, findable and traceable. Unity Catalog can thus bridge the gap in DuckDB setups, where governance and security are more limited, by adding a robust layer of management and compliance.

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Metadata Management: Process, Tools, Use Cases, and Best Practices

Altexsoft

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. It aims at making data assets understandable and discoverable for users. Metadata storage usually implies developing a specialized repository. Metadata storage. What is metadata management?

Tools 59
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10 Keys to a Secure Cloud Data Lakehouse

Cloudera

Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Cloud 52