April 2022 Summaries

Metaplane has introduced a new feature, Snowflake Table and Column Usage Analytics, to help data teams better understand how their critical data is being used. By monitoring table and column level usage analytics for Snowflake customers, this feature enables users to identify trends in data usage, assess the impact of changes on downstream consumers, prioritize addressing tech debt, test their most critical data assets, and provide actionable context when issues arise.

Metaplane has introduced a warehouse to BI tool data lineage tool that helps data engineers search and discover dependencies in seconds. The tool is designed to provide a visualization and exploration mechanism for understanding how data flows through systems, identifying complex dependencies, and answering various data awareness questions. It also assists in preventing downstream BI issues by enabling data engineers to understand the scope of changes before they happen. Furthermore, it helps decrease data debt by identifying low hanging fruit that can be fixed to improve overall data quality and efficiency.