Case Study: Elsevier achieves scalable, streamlined ETL and personalized healthcare education with Matillion ETL for Amazon Redshift

Elsevier - Customer Case Study

Elsevier, the RELX Group medical publishing company, needed a more scalable data stack to support its new healthcare education ecosystem Sherpath and a growing user base. Their legacy ETL was failing—jobs halted, data backed up, and preprocessing workarounds slowed pipelines—so they adopted Amazon Redshift and the vendor Matillion’s solution, Matillion ETL for Amazon Redshift, to replace the deteriorating ETL processes.

Matillion implemented a purpose-built ETL for Redshift via a quick AWS Marketplace deployment and proof of concept, streamlining Elsevier’s data pipelines and making jobs easy to build, debug and share across teams. The result was measurable: job debugging and processing times dropped “from days to hours, and from hours to minutes,” analytics staff were freed to focus on discovery and innovation, and Sherpath now delivers more personalized, reliable education services — all enabled by Matillion and Redshift’s scalability and stability.

Elsevier

Daniel Klein

Software Engineer