How Would An Ideal Semantic Layer Look Like? (dbt Singapore Meetup)

Are you curious about what the ideal semantic layer would look like for your data analytics needs? Join Thanh from Holistics in his recent talk at dbt Singapore Meetup - as he explores the characteristics and benefits of the perfect semantic layer. In this talk, we'll delve into the concept of a semantic layer, why it's become essential in today's analytics landscape, and how it can improve efficiency and user experience. We'll also discuss the essential features that an ideal semantic layer should have and how they can help you achieve your data analysis goals. Whether you're a data analyst, engineer, or business user, this talk will provide valuable insights into the world of semantic layers and how they can transform your approach to data analysis. --- RESOURCES: 1. Benn Stancil's article on Metrics Layer: https://benn.substack.com/p/metrics-l... 2. Feature request for Metrics Layer on dbt Github: https://github.com/dbt-labs/dbt-core/... 3. Pedram Navid for inspiration of conversion rate example in the talk: https://pedram.substack.com/p/what-is... 4. "The metrics layer has growing up to do” by Amit Prakash (Thoughtspot CTO): https://www.thoughtspot.com/blog/the-... Having questions? Visit our community, would love to have you there :): https://community.holistics.io/ --- TIMESTAMP: 00:00 - 02:30: Industry discussions about Metrics Layer 02:31 - 11:18: Why do we need a semantic (metric) layer? (Examples and Use Case) 11:19 - 21:26: Benefits of the semantic layer and metric-centric thinking 21:27 - 24:34: The ideal semantic layer: How would it work? 24:35 - 27:40: Current landscape 27:40 - 28:30: Credit and Inspirations --