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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

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This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. However, as data volumes and complexity continue to grow, effective data governance becomes a critical challenge.

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Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Alation

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

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Data quality

Dataconomy

Data quality is an essential factor in determining how effectively organizations can use their data assets. In an age where data is often touted as the new oil, the cleanliness and reliability of that data have never been more critical. What is data quality? million annually.

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Data analytics

Dataconomy

Data analytics process A structured process guides successful data analysts in interpreting and utilizing data effectively. Following these steps ensures the validity and usefulness of insights derived from data. A proactive approach enables organizations to utilize their data talent effectively.

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Moving from Traditional to Active Data Governance

Alation

For data-driven enterprises, data governance is no longer an option; it’s a necessity. Businesses are growing more dependent on data governance to manage data policies, compliance, and quality. For these reasons, a business’ data governance approach is essential. Data Democratization.

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Augmented analytics

Dataconomy

By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. Augmented analytics is the integration of ML and NLP technologies aimed at automating several aspects of data preparation and analysis.

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The Value of Catalog-Led Data Governance

Alation

The practitioner asked me to add something to a presentation for his organization: the value of data governance for things other than data compliance and data security. Now to be honest, I immediately jumped onto data quality. Data quality is a very typical use case for data governance.