Monday Morning Data Chat
#147 - Data Warehouses and Semantics Deep Dive, SDF, and more w/ Lukas Schulte (SDF)
Oct 9, 2023
Lukas Schulte, an expert in data warehousing and semantics, discusses the importance of semantics in data warehouses, the challenges of defining common terms in business and data analysis, and introduces SDF, a semantic data product. They also explore the significance of context in data analysis and the availability of free versions of tools.
56:02
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Quick takeaways
- Semantics are important for a data warehouse to achieve consistent definitions and meanings for metrics like daily active users.
- SDF provides a static analysis engine that attaches classifiers to columns, allowing for clear lineage and better control over data types and privacy rules.
Deep dives
SDF Labs and the Semantic Data Product
Lucas, CEO of SDF Labs, introduces their semantic data product, which aims to provide a better understanding of data warehouses from ingestion to consumption. He explains how their previous experience in sensor analytics and computer vision led them to address challenges in data retention, user data management, and understanding semantic meanings within organizations.
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