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

by Landen Howe
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Current price ₹2,235.00
Original price ₹2,481.00
Original price ₹2,481.00
Original price ₹2,481.00
(-10%)
₹2,235.00
Current price ₹2,235.00

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Book cover type: Paperback
  • ISBN13: 9798267319805
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 248
  • Original Price: GBP 19.61
  • Language: English
  • Edition: N/A
  • Item Weight: 436 grams
  • BISAC Subject(s): Languages / General

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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