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Apache Pinot, an open-source distributed data store, has emerged as a powerful tool for handling high-velocity, low-latency data at scale. To ensure that Pinot meets the demands of real-time analytics, it's essential to conduct comprehensive performance testing.

This presentation aims to guide you through the process of performance testing Apache Pinot using Gatling, a widely used load-testing tool. We'll explore the key concepts, methodologies, and best practices for assessing the performance and scalability of your Pinot cluster.

Hubert Dulay , Developer Advocate @ StarTree, is the author of “Streaming Data Mesh.” He is a veteran engineer with over 20 years of experience in big and fast data and MLOps. Hubert has compiled his experiences with data from his time while consulting for many financial institutions, healthcare organizations, and telecommunications companies, providing simple solutions that solved many data problems.

Machine Learning
Cloud Computing
Big Data
Data Science
Engineering

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