High-Performance Data Engineering with Go
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Home > Computing and Information Technology > Computer programming / software engineering > Programming and scripting languages: general > High-Performance Data Engineering with Go: Build Blazing-Fast Pipelines and Real-Time Streams That Handle Massive Workloads
High-Performance Data Engineering with Go: Build Blazing-Fast Pipelines and Real-Time Streams That Handle Massive Workloads

High-Performance Data Engineering with Go: Build Blazing-Fast Pipelines and Real-Time Streams That Handle Massive Workloads


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About the Book

High-Performance Data Engineering with Go: Build Blazing-Fast Pipelines and Real-Time Streams That Handle Massive Workloads What if you could process billions of records with sub-second latency, deliver real-time insights that transform business, and do it all with code that's as robust as it is readable? Data engineers everywhere are facing rising expectations-bigger data, tighter deadlines, and demands for analytics that never sleep. But most pipelines strain under the load, crippled by complexity and sluggish performance. This book gives you the answer: Go. Designed for developers who refuse to settle for slow or fragile systems, High-Performance Data Engineering with Go lays out practical techniques, patterns, and strategies to move data at speed-no matter the scale. You'll learn, step by step, how to harness Go's concurrency model, memory efficiency, and streaming capabilities to architect and deploy production-grade data pipelines that never blink. Inside, you'll find: Proven blueprints for building streaming and batch pipelines that scale from local to cloud Expert guidance on managing memory, concurrency, and backpressure to ensure consistent performance Hands-on code examples for integrating Kafka, ClickHouse, NATS, S3, and more-using Go's top libraries and idioms Techniques for profiling, benchmarking, and tuning throughput, latency, and resource usage under real-world conditions Strategies for observability, fault tolerance, and automated deployment in demanding, always-on environments Whether you're engineering event-driven analytics, feeding data lakes, or powering AI and real-time decision systems, this book gives you the actionable skills to deliver results that matter. No filler, no theory-just proven solutions drawn from actual production systems and the hard lessons of building at scale. If you're ready to design pipelines that are as fast as they are reliable-and stand out in a field that rewards performance-this is your essential manual. Don't let bottlenecks define your work. Take control of your data pipelines with Go, and set a new standard for what's possible. Pick up your copy today and start building the pipelines the future runs on.


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Product Details
  • ISBN-13: 9798267319805
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 248
  • Returnable: N
  • Sub Title: Build Blazing-Fast Pipelines and Real-Time Streams That Handle Massive Workloads
  • Width: 178 mm
  • ISBN-10: 8267319808
  • Publisher Date: 26 Sep 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 13 mm
  • Weight: 489 gr


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High-Performance Data Engineering with Go: Build Blazing-Fast Pipelines and Real-Time Streams That Handle Massive Workloads
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