YouTube video by Edgewear

Check out the Dataplex Ouroboros community on Discord - hang out with 347 other members and enjoy free voice and text chat.

Dataplex Universal Catalog provides a foundation for AI systems by enabling them to understand and trust data. Column-level lineage is being extended to Dataplex, starting with BigQuery, offering more granular data tracking than object-level lineage. This enhancement provides a detailed map of data transformations, crucial for responsible data governance and AI strategy. Verizon highlights the importance of this feature for trusting data and governing it confidently. Column-level lineage allows users to trace the specific path of individual data columns allowing users to understand data origins and impact. Users can identify upstream and downstream connections, ensuring data accuracy and compliance. Dataplex now offers an interactive visual representation of column-level relationships, helping data professionals. This empowers users to quickly answer questions about complex BigQuery datasets. This feature is highly beneficial for AI and ML model training, verifying the origin and trust of individual features. Column-level lineage provides the necessary context for effective, context-aware AI agents. This enables agents to distinguish between similar metrics and provide context on column importance. By tracing each column’s path, Dataplex with column-level lineage enhances the capabilities of AI applications. Users can begin using column-level lineage for BigQuery in Dataplex right away.