The Role Of A Well Implemented Data Mesh In Achieving Your ESG Responsibilities
summary
Claims that a data virtualization layer plus a logical data fabric lets domains publish governed data products, cut unnecessary replication and serve real-time data across hybrid and multi‑cloud. Cites IDC numbers: global data grows from 33 to 175 zettabytes and ~90% replication; references 3–7 kilowatts per day per gigabyte energy figures. Mentions customer use cases (Landsbankinn, One Africa, James’s Place, Seacoast, CIT, Santander), AI-driven autoscaling, masking/obfuscation for governance, and reduced storage and compute via query optimization.
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chapters (8)
- 0:00Introduction and speaker intro
- 1:49Overview of dinodo and its platform
- 5:42Data fabric vs data mesh explained
- 8:54Data virtualization foundation for data mesh
- 10:40Steps to build a data mesh
- 13:30Environmental impact of data growth
- 17:26Customer use cases for ESG
- 19:10Conclusion and Q&A
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