Case Study: The New York Times achieves full cloud transformation and faster, deeper analytics with Caserta

The New York Times reimagines its architecture on the cloud

The New York Times faced fragmented, 15-year-old legacy data systems across multiple locations that throttled analytics, prevented speed-of-thought drill-downs, and required hundreds of time-consuming reports. To reengineer their data warehouse, shut down three on-premises data centers by March 2018, and shift focus from operations to analytics, they engaged Caserta for a cloud transformation and cloud-based data architecture implementation.

Caserta assessed the environment, designed a cloud-native architecture, and built the new cloud-based systems, enabling The New York Times to meet the March 2018 deadline and retire all data centers. The resulting scalable platform accelerated analytics delivery, restored deep drill-down capabilities, supports any data volume and new sources, and empowered product teams to improve user experience and bolster customer retention.

The New York Times

Matt Digan

Executive Director of Data Engineering