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Artículo: AMZ-B0FL2SRB28
HOW TO TEST DATA STREAM APPLICATIONS: Kafka Testing Made Simple – Test With Confidence
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Paperback
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En stock
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0.20 kg
0.20 kg
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Amazon
Amazon
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USA
USA
Sobre este producto
- A practical guide to testing data-stream applications with confidence – includes Kafka best practices and beyond. Learn what to test (and what not to) in a data stream application, with hands-on strategies, tools, and QA tester’s mindset.Testing Kafka applications doesn't have to be overwhelming or confusing. This practical guide breaks down complex data streaming concepts into simple, actionable strategies that any tester can follow - whether you're new to Kafka or transitioning from traditional functional testing.The step-by-step approach covers everything from core Kafka concepts explained through simple analogies to advanced topics like Dead Letter Queue(DLQ) validation and non-deterministic test behavior. Each chapter builds on practical knowledge gained from testing projects at fintech companies, banks, and government organizations.Perfect for QA engineers, testers, and anyone working with ETL or microservices projects, this book transforms your existing testing skills into valuable data streaming expertise. You'll learn to catch critical bugs early using proven open-source tools and techniques that are used in real production-grade projects. Written by an IT consultant with over a decade of real-world experience in ETL processes and data pipelines, this book cuts through the technical jargon to focus on what actually matters for testing. You'll discover what to test (and what not to test) in Kafka-based systems, how to test indeterministic streaming behaviors, and why API testing alone isn't enough for comprehensive quality assurance.Stop firefighting issues and start implementing reliable, repeatable testing strategies that actually work. Your path to becoming a high-value data testing professional starts here.
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