Intelligent data governance Centrally discover, manage, monitor, and govern data and AI artifacts across your data platform, providing access to trusted data and powering analytics and AI at scale.
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product2025-11-08
The article discusses Ericsson's transformative journey towards data governance using Google Cloud's Dataplex Universal Catalog. It highlights the importance of data integrity and governance in modern telecommunications, particularly for Ericsson's Managed Services. The piece outlines the steps taken by Ericsson to operationalize its data strategy, emphasizing the need for clean, reliable data and the balance between compliance and innovation. It also touches on future priorities in AI-powered data governance and the lessons learned from their experience.
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product2025-11-04
The article announces the preview of the Data Engineering Agent in BigQuery, designed to automate complex data engineering tasks. It highlights how the agent can streamline pipeline development, maintenance, and troubleshooting, allowing data professionals to focus on higher-level tasks. Key features include natural language pipeline creation, intelligent modifications, and integration with Dataplex for enhanced data governance. The article also shares positive feedback from early users, emphasizing the agent's potential to transform data engineering workflows. I would like to see how this help the data modelling tasks, usually DE team don't own this part or need cross ownership this with DA.
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product2024-11-12
I agree with the 'dark data' problem in large organizations, and tools like Dataplex can help by automating data discovery. However, with thousands of tables generated, it raises the question: who will sift through these massive results to identify truly valuable datasets? This process could be very time-consuming.
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product2024-11-12
I agree with the 'dark data' problem in large organizations, and tools like Dataplex can help by automating data discovery. However, with thousands of tables generated, it raises the question: who will sift through these massive results to identify truly valuable datasets? This process could be very time-consuming.