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Why Cloud Data Governance is Critical: 9 Key Principles

Alation

Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them. Whether you’re using a platform like AWS, Google Cloud, or Microsoft Azure, data governance is just as essential as it is for on-premises data. Cataloging & Classification.

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Thank You Snowflake for Naming Alation the Data Governance Partner of the Year

Alation

Lastly, active data governance simplifies stewardship tasks of all kinds. Tehnical stewards have the tools to monitor data quality, access, and access control. A compliance steward is empowered to monitor sensitive data and usage sharing policies at scale. Sign up for a weekly demo today.

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What Is Data Modernization? 5 Benefits Worth Knowing

Alation

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. 5 Benefits of Data Modernization. Advanced Tooling.

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Top 10 Reasons for Alation with Snowflake: Reduce Risk with Active Data Governance

Alation

In the next section, let’s take a deeper look into how these key attributes help data scientists and analysts make faster, more informed decisions, while supporting stewards in their quest to scale governance policies on the Data Cloud easily. Find Trusted Data. Verifying quality is time consuming.

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UK Defence Sector Data Rules: 6 Ways to Ensure Compliance

Alation

Central to this is a culture where decisions are made based solely on data, rather than gut feel, seniority, or consensus. Introduced in late 2021 by the EDM Council, The Cloud Data Management Framework ( CDMC ), sets out best practices and capabilities for data management challenges in the cloud.

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Snorkel AI Teams with Google Cloud and Vertex AI to speed AI deployment

Snorkel AI

The combination of Google Cloud services with Snorkel AI’s data-centric AI platform accelerates training data curation for ML development 10-100x [1] and empowers enterprises to solve some of their most critical challenges by accessing all of their knowledge and data to build AI systems.

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Snorkel AI Teams with Google Cloud and Vertex AI to speed AI deployment

Snorkel AI

The combination of Google Cloud services with Snorkel AI’s data-centric AI platform accelerates training data curation for ML development 10-100x [1] and empowers enterprises to solve some of their most critical challenges by accessing all of their knowledge and data to build AI systems.