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  公式動画&関連する動画 [DC EVOLVE25: Customer Spotlight Streamlining Data Governance and Lineage to Accelerate Out]

Shiva Chidara of the University of Arizona details how the UAIR team overcame budget constraints to build a robust data governance foundation using Cloudera Octopai. Discover how the university moved from manual, siloed reporting to an automated data lineage system that manages over 13,000 ETL jobs. Learn how the "Data Discovery" module provided a 2-minute solution for massive code refactoring during a major system upgrade. This session offers a roadmap for using automated lineage to reduce costs, eliminate data redundancies, and drive institutional research success. *Get Started* 🔹 Customer Success Stories: https://www.cloudera.com/customers.html?utm_medium=social-organic&utm_source=youtube&keyplay=AI-Anywhere&utm_campaign=Other---Did-You-Know-Fraud-detection-customer&cid=UNGATED&utm_content=youtube-cta 🔹 Read the Cloudera Blog: https://www.cloudera.com/blog.html *Resources:* Hear more from our customers: https://www.youtube.com/playlist?list=PLe-h9HrA9qfABGzjKR86Sycoyq83EjLl9 Watch Demos: https://www.youtube.com/playlist?list=PLe-h9HrA9qfCZIH6ji5hxKucwXi0xvBSi Chapters: 00:00 Cloudera & University of Arizona 01:01 University of Arizona 02:50 Why is Data Governance critical for Higher Education? 03:59 Starting the Arizona Data Journey 04:22 How to implement a Data Catalog in a University setting 06:31 Data Lineage 08:01 Use Case 08:35 Data Discovery 10:41 Outcome 12:00 Management ROI: Why the University is happy with the investment 13:00 Conclusion *Connect with Cloudera* Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations. https://www.cloudera.com LinkedIn ► https://www.linkedin.com/company/cloudera Facebook ► https://www.facebook.com/cloudera/ X ► https://x.com/cloudera Spotify ► https://open.spotify.com/show/102S8zoZR6nmZV0HxZlxZu #DataLineage #college #datamanagement #ai #technology #tech #UniversityOfArizona #DataGovernance #cloudera #DataStage
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