Building Real-Time Analytics Systems by Mark Needham

Building Real-Time Analytics Systems by Mark Needham

Data is most valuable in the moment — but building systems that can turn a continuous stream of events into real-time insights at scale is one of the hardest engineering challenges in modern data infrastructure. Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot by Mark Needham (O'Reilly) is the definitive practical guide to doing exactly that. With a foreword by Gunnar Morling, this book brings together two of the most powerful tools in the real-time data stack and shows you how to make them work together beautifully.

Needham walks you through the complete architecture — from ingesting event streams with Apache Kafka to querying and visualizing real-time analytics with Apache Pinot — with the kind of end-to-end clarity that only comes from deep hands-on experience. Whether you're a data engineer building your organization's first real-time pipeline, a backend engineer adding analytics to a live product, or an architect designing the next generation of your data infrastructure — this book gives you the battle-tested patterns and practical code to build systems that are fast, scalable, and genuinely useful. Real-time insights start here.

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