Case Study: Block Automates Column-Level Data Lineage at Exabyte Scale with Select Star

Block Automates Column-level Data Lineage at Exabyte Scale with Select Star

Block, a global finance company, was challenged by the immense scale of its data operations, which processed exabytes of data and billions of dollars in transactions annually. With thousands of data consumers and a decentralized setup, manually tracking data lineage and ensuring compliance with strict regulations like GDPR and SOX was nearly impossible. This created a fragmented ecosystem where data analysts struggled to find trustworthy data. They implemented Select Star's data intelligence platform to gain automated column-level lineage and governance.

Select Star provided a single source of truth for metadata, offering critical features like automated lineage tracking and popularity scores for data objects. The solution saved Block countless hours of manual effort, streamlined access control management through API integrations, and significantly reduced data redundancies across their vast Looker and Snowflake environments. This empowered their teams to perform impact analysis, improve data security, and support over 6,600 data consumers more efficiently.

Block

Matthew White

Business Intelligence Analyst