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Low Friction Data Governance With Immuta

Data Engineering Podcast

Summary Data governance is a term that encompasses a wide range of responsibilities, both technical and process oriented. One of the more complex aspects is that of access control to the data assets that an organization is responsible for managing. What is data governance? How is the Immuta platform architected?

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Data News — Week 24.15

Christophe Blefari

In the same conference a lot of other talks took place here a few selection you should check out: How to pivot your data team from a service team to a value-generator — Very often data teams struggle in delivering value or in finding what's their real identity.

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Modern Overview of the MIT CDOIQ Symposium

The Modern Data Company

By omitting the complexity and debt of data pipelines resulting from multiple fragmented tools in the ‘MAD Ecosystem,’ these loops can be efficiently maintained Process Angle : Administering Data Products involves a combination of technology, culture, and process. Read more about our partnership.

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Understanding the True Cost of Data Debt

The Modern Data Company

Limited resources: Data management has always been resource intensive, but not all organizations can maintain a full data team. Without suitable resources for company-wide data management, it’s easier to fall behind. Find out how DataOS can help you chip away at your data debt.

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Generative AI and the Future of Data Engineering

Monte Carlo

But is there more to generative AI than a fancy demo on Twitter? And how will it impact data? How generative AI will disrupt data With the advent of OpenAI’s DALL-E and ChatGPT, large language models became much more useful to the vast majority of humans. Request a demo today. Let’s assess. Will you join us?

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Charting the Path of Riskified's Data Platform Journey

Data Engineering Podcast

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

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Simplify Data Security For Sensitive Information With The Skyflow Data Privacy Vault

Data Engineering Podcast

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.