Alation's Active Metadata Graph is designed to enhance data intelligence by automatically analyzing database query logs. This process uncovers how data is utilized within an organization, offering insights that inform more intelligent data usage strategies. By identifying the most popular data assets based on actual usage, data analysts can select optimal datasets for specific analyses, data stewards can prioritize high-value data management, and IT departments can determine which data to migrate to the cloud first. Additionally, the Active Metadata Graph identifies top users and experts associated with specific data assets, fostering a knowledgeable data community. It also streamlines SQL writing by providing an indexed history of filters, joins, and expressions, allowing analysts to reuse trusted queries and promoting correct data usage. Furthermore, the solution automates data lineage by building interactive lineage graphs from SQL join information, offering visibility into upstream and downstream dependencies of data assets.

Key Features & Benefits

• Automated Data Insights:
  • Ingests and processes database query logs to reveal behavioral patterns.
  • Informs smarter data usage by understanding how data is utilized.
• Data Popularity Metrics:
  • Identifies and sorts the most popular data based on usage.
  • Assists data analysts, stewards, and IT in making informed decisions regarding data analysis, management, and migration.
• Expert Identification:
  • Recognizes top users and experts by asset based on actual usage.
  • Empowers the data community by connecting users with knowledgeable individuals for assistance.
• SQL Writing Optimization:
  • Provides an indexed SQL history of filters, joins, and expressions.
  • Facilitates the reuse of trusted queries and accelerates onboarding for analysts.
• Automated Data Lineage:
  • Constructs interactive lineage graphs from SQL join information.
  • Offers visibility into upstream and downstream dependencies of data assets.