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Practical First Steps In Data Governance For Long Term Success

Data Engineering Podcast

Data governance is the binding force between these two parts of the organization. Nicola Askham found her way into data governance by accident, and stayed because of the benefit that she was able to provide by serving as a bridge between the technology and business. What are some of the pitfalls in data governance?

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Govern an Open Lakehouse with Snowflake Open Catalog

Snowflake

An open standard for storage format and catalog API has helped, but there’s still a need for open standards for the catalog, including a consistent way to apply security access controls to data. To address these security and governance challenges, Snowflake worked with the community to form open standards with Apache Polaris™ (incubating).

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2024 Governance Trends for Data Leaders

phData: Data Engineering

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. With that, let’s get into the governance trends for data leaders! Want to Save This Guide for Later?

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Snowflake Horizon Advances Industry-Leading Governance with Simplified Internal Marketplaces and AI Innovations

Snowflake

At the same time, organizations must ensure the right people have access to the right content, while also protecting sensitive and/or Personally Identifiable Information (PII) and fulfilling a growing list of regulatory requirements. Additional built-in UI’s and privacy enhancements make it even easier to understand and manage sensitive data.

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AI Success – Powered by Data Governance and Quality

Precisely

Robust data governance for AI ensures data privacy, compliance, and ethical AI use. But achieving AI mastery comes with its own unique hurdles – the most significant being ensuring the quality and governance of the data that fuels your AI systems. And within those data strategies, data governance is non-negotiable.

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Best Practices for Responsible AI Innovation and Governance Frameworks

Snowflake

With the breakneck speed of AI advancement, new innovations inevitably outpace global governments’ abilities to regulate its use. Rather than struggle with a reactive approach tackling new technology case by case, governments worldwide are developing AI governance frameworks that proactively seek ways to address these challenges.

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Where Does Data Governance Fit Into Hybrid Cloud?

Cloudera

But for all the excitement and movement happening within hybrid cloud infrastructure and its potential with AI, there are still risks and challenges that need to be appropriately managed—specifically when it comes to the issue of data governance. The need for effective data governance itself is not a new phenomenon.