PayPal’s journey with Managed Service for Apache Spark
In a data-driven world, PayPal’s ability to deliver timely and actionable insights is central to staying ahead. At PayPal, data powers everything from fraud detection to user experience enhancements. Data is also central to unleashing the potential of agentic solutions and experiences.
Over time, though, our analytics environment had become a complex ecosystem of various technologies and solutions assembled on-premise to address growing demands. While this approach supported our needs at the time, it began presenting new challenges to scale and maintain.
Navigating a challenging analytics landscape
Due to expedited growth and acquisitions, our data analytics platform gradually turned into an uneven landscape. Each new platform or integration addressed a specific business need, but together, they increased operational overhead and introduced performance blockages. Scalability became increasingly difficult, and time-to-insight slowed as processes grew more complex.
Complexity breeds stagnation
PayPal’s legacy data analytics platformwas powerful—handling petabytes daily—but it was also...
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