{"product_id":"high-performance-data-engineering-with-go-landen-howe-9798267319805","title":"High-Performance Data Engineering with Go: Build Blazing-Fast Pipelines and Real-Time Streams That Handle Massive Workloads","description":"\u003cp\u003e\u003cb\u003eHigh-Performance Data Engineering with Go: Build Blazing-Fast Pipelines and Real-Time Streams That Handle Massive Workloads\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eWhat 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.\u003c\/p\u003e\u003cp\u003eThis book gives you the answer: Go. Designed for developers who refuse to settle for slow or fragile systems, \u003ci\u003eHigh-\u003c\/i\u003e\u003cb\u003ePerformance Data Engineering with Go\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003eInside, you'll find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eProven blueprints for building streaming and batch pipelines that scale from local to cloud\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eExpert guidance on managing memory, concurrency, and backpressure to ensure consistent performance\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHands-on code examples for integrating Kafka, ClickHouse, NATS, S3, and more-using Go's top libraries and idioms\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eTechniques for profiling, benchmarking, and tuning throughput, latency, and resource usage under real-world conditions\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eStrategies for observability, fault tolerance, and automated deployment in demanding, always-on environments\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWhether 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.\u003c\/p\u003e\u003cp\u003eIf 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePick up your copy today and start building the pipelines the future runs on.\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Landen Howe\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798267319805\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 09\/26\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 248\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.96lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.52d","brand":"Landen Howe","offers":[{"title":"Paperback","offer_id":48454252921087,"sku":"9798267319805","price":26.15,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_6caa1a0b-8dc3-481a-86bf-023850a72b9f.jpg?v=1777305097","url":"https:\/\/www.whiterainbookhouse.com\/products\/high-performance-data-engineering-with-go-landen-howe-9798267319805","provider":"WR Book House","version":"1.0","type":"link"}