How Pinterest Uses Scala

The article discusses Pinterest's journey in implementing AI-assisted development, focusing on the balance between innovation and safety.

This article discusses Pinterest's implementation of a finer-grained access control (FGAC) framework to manage data access securely and efficiently within their data engineering platform.

The article discusses how Pinterest improved data processing efficiency by implementing partial deserialization of Thrift encoded data.

The article discusses how Pinterest empowered its data scientists and machine learning engineers by building a PySpark infrastructure that addresses challenges faced with existing tools like Hive a...

The article discusses Pinterest's implementation of a near real-time experimentation platform using Apache Flink to analyze thousands of experiments daily.

Pin2Interest (P2I) is a scalable system developed by Pinterest for classifying content by mapping over 200 billion Pins into a dynamic taxonomy of interests.

The article discusses the upgrade of Pinterest's operational metrics system, detailing the transition from the deprecated Ostrich library to an in-house solution called Pinterest StatsCollector.

The article discusses the development of Pinterest's A/B testing platform, highlighting the need for a reliable and user-friendly system to manage a large volume of experiments.