The data engineering team of The New York Times was mandated with rearchitecting all of their data systems to the cloud and shutting down their three data centers for good—all by March 2018. The team had no room for error in order to meet this tight deadline.
The legacy system and processes were used to manage data around digital subscribers, home delivery, customer care and to forecast growth around subscribers and subscriptions. Hundreds of reports were in use to power the business across the enterprise.
The New York Times began their journey to the cloud in early 2017 with a deadline of closing down all data centers by March 2018. It quickly became clear that transforming the systems to the cloud was a monumental task with many challenges. As there was no wiggle room for failure, the data engineering team needed help on their journey to ensure success.
The New York Times chose Caserta to partner with them on their journey to the cloud. Caserta’s experts interfaced with the data engineering team to assess what needed to be done, design an architecture framework that was completely reimagined for the cloud, and build the new cloud-based systems.
Cloud Transformation Success
With Caserta’s help, the data engineering team of The New York Times met the deadline to reengineer and deploy all data ecosystems in the cloud.
Head of The New York Times Data Warehouse Team Shutting off the Data Center in Midtown Manhattan Office
The New York Times could now leverage the cloud systems to gain deeper insights and drive further growth. The new flexible and scalable architecture can handle any volume of data and any number of additional sources helping to future-proof their business. In addition to the business analytics, the product teams can now use this data to further improve the user experience bolstering customer retention rates.