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Scaling Self-Service Analytics in Regulated Banking With Metadata-Driven Design
This story was originally published on HackerNoon at: https://hackernoon.com/scaling-self-service-analytics-in-regulated-banking-with-metadata-driven-design.
Scaling self-serve analytics in regulated banking is hard. Learn how metadata-driven design enforces governance while letting teams explore data safely
Check more stories related to data-science at: https://hackernoon.com/c/data-science.
You can also check exclusive content about #data-engineering, #bigquery, #gcp, #data-governance, #mlops, #cross-cloud-data-platform, #cloud-data-engineering, #self-service-analytics, and more.
This story was written by: @jeevanreddygeeredd. Learn more about this writer by checking @jeevanreddygeeredd's about page,
and for more stories, please visit hackernoon.com.
Self-service analytics in banking is not primarily a technology challenge. It's a governance challenge. This article explores the design of a metadata-driven analytics platform on GCP that enabled business teams to access trusted financial data without creating new silos. Key lessons include treating lineage as a first-class feature, using semantic layers to enforce consistent business logic, and prioritizing auditability over raw performance in regulated environments.
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By HackerNoonThis story was originally published on HackerNoon at: https://hackernoon.com/scaling-self-service-analytics-in-regulated-banking-with-metadata-driven-design.
Scaling self-serve analytics in regulated banking is hard. Learn how metadata-driven design enforces governance while letting teams explore data safely
Check more stories related to data-science at: https://hackernoon.com/c/data-science.
You can also check exclusive content about #data-engineering, #bigquery, #gcp, #data-governance, #mlops, #cross-cloud-data-platform, #cloud-data-engineering, #self-service-analytics, and more.
This story was written by: @jeevanreddygeeredd. Learn more about this writer by checking @jeevanreddygeeredd's about page,
and for more stories, please visit hackernoon.com.
Self-service analytics in banking is not primarily a technology challenge. It's a governance challenge. This article explores the design of a metadata-driven analytics platform on GCP that enabled business teams to access trusted financial data without creating new silos. Key lessons include treating lineage as a first-class feature, using semantic layers to enforce consistent business logic, and prioritizing auditability over raw performance in regulated environments.