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The What & Why of Data Governance

erwin

But when IT-driven data management and business-oriented data governance work together in terms of both personnel, processes and technology, decisions can be made and their impacts determined based on a full inventory of reliable information. Virginia residents also would be able to opt out of data collection.

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Breaking State and Local Data Silos with Modern Data Architectures

Cloudera

A data mesh supports distributed, domain-specific data consumers and views data as a product, with each domain handling its own data pipelines. Towards Data Science ). Solutions that support MDAs are purpose-built for data collection, processing, and sharing.

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How Knowledge Graphs Boost the Benefits of Analytics

Sisense

AM: How is data collected to make these recommendations? YL: We’re interested in metadata. Yael Lev was a featured speaker in our webinar, “Humanizing BI Through Natural Language Processing and Knowledge Graphs,” alongside data scientist Ayelet Arditi and Sisense product marketing manager Julie Zuckerman.

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Data Governance for Dummies: Your Questions, Answered

Alation

This is because you will know what data you can trust, and you will have processes to create and upkeep data, as well as curated metadata to exploit data’s full capabilities. So, establishing a framework to store data by its source is a great place to start. Here’s an example.

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5 Data Governance Mistakes to Avoid

Alation

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

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5 Data Governance Mistakes to Avoid

Alation

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. There were 80 or so questions or comments posted and I was not able to respond to all of them live in the webinar so here are the verbatim questions and an individual response to each on. I hope they are helpful.