Gain deep insight into real-time analytics, including the features of these systems and the problems they solve. With this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changes in your business and act accordingly. Author Mark Needham from StarTree provides an overview of the real-time analytics space and an understanding of what goes into building real-time applications. The book's second part offers a series of hands-on tutorials that show you how to combine multiple software products to build real-time analytics applications for an imaginary pizza delivery service. You
This book gives a pretty good high-level intro to the world of event-driven systems. It touches on a bunch of popular tools like Kafka, Kafka Streams, CDC, Apache Pinot, etc., and walks through some simple business scenarios to help explain the concepts.
That said, there are definitely many more downsides. It skips over a lot of important technical details—for example, the Kafka Streams code is super light on explanation. If you’re not already familiar with things like stream joins, it’s honestly hard to tell what’s going on. And that’s kind of the pattern throughout the book. So if you already know this stuff, you probably don’t need the book. But if you’re trying to learn, it doesn’t explain enough to really help. I’d say it’s OK as a super basic intro, but nothing more than that.