LinkedIn's Revenue Attribution Report (RAR) has enhanced privacy and reduced network congestion by over 99% through the implementation of additive symmetric homomorphic encryption (ASHE). This new system enables secure queries on encrypted data without the need for row-level decryption, improving performance and maintaining robust privacy guardrails. As a result, advertisers can better measure the impact of their marketing campaigns while ensuring member data protection.

Apache DataFusion 49.0.0 has been released with significant performance enhancements, including dynamic filters, async user-defined functions, and modular encryption for Parquet files. The update also introduces support for ordered-set aggregate functions and improved cancellation for long-running queries, alongside community growth and contributions. Detailed changelogs and an upgrade guide are provided for users transitioning to the new version.