Leveraging Semantic Layers: For Data Quality, Privacy And Governance

Alex Gorelik discusses the importance of data classification in enhancing data quality, governance, privacy, and discoverability. He highlights the importance of semantic understanding for efficient data quality rules and privacy policy implementation. He emphasizes the need for automated classification techniques to handle the scale and evolving nature of data. Gorelik introduces faldisco, an open-source tool for detecting complex relationships between fields. He advocates for a combination of classification approaches, balancing methods based on use cases, and integrating with change management for optimal performance in cloud environments. The session encourages further exploration and collaboration on data classification techniques and use cases.