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 ...
Read More
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.
Read Less
Add this copy of High-Performance Data Engineering with Go: Build to cart. $26.75, like new condition, Sold by GreatBookPricesUK5 rated 5.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2025 by Independently Published.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Fine. Trade paperback (US). Glued binding. 248 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of High-Performance Data Engineering with Go: Build to cart. $27.03, new condition, Sold by GreatBookPricesUK5 rated 5.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2025 by Independently Published.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Trade paperback (US). Glued binding. 248 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of High-Performance Data Engineering with Go: Build to cart. $30.06, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
Add this copy of High-Performance Data Engineering with Go: Build to cart. $36.36, like new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2025 by Independently Published.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Fine. Trade paperback (US). Glued binding. 248 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of High-Performance Data Engineering with Go: Build to cart. $36.66, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2025 by Independently Published.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Trade paperback (US). Glued binding. 248 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of High-Performance Data Engineering With Go: Build to cart. $55.56, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2025 by Independently published.
