Case Study: Dayton Freight achieves real-time data synchronization with Etlworks

Dayton Freight streamlines real-time CDC and high-volume ETL with Etlworks

Dayton Freight, a leader in regional transportation and logistics, faced challenges in integrating diverse data from legacy systems like AS400 and modern platforms such as Apache Kafka, APIs, and cloud databases. They required real-time Change Data Capture (CDC) streaming and scalable ETL workflows to create a unified data ecosystem and turned to Etlworks for a solution.

Etlworks implemented a robust data integration framework featuring real-time CDC pipelines from AS400 and Kafka into Greenplum and Postgres, alongside scalable ETL workflows for data warehousing. This solution provided Dayton Freight with reliable real-time data synchronization, seamlessly connected their legacy and modern systems, and streamlined their data integration processes for improved operational efficiency and faster insights.

Dayton Freight