{"product_id":"the-modern-data-engineers-ai-leon-amsel-9798271400506","title":"The Modern Data Engineer's AI Handbook: Proven Techniques to Design, Automate, and Optimize Data Systems for Machine Learning.","description":"\u003cb\u003e\u003ci\u003eThe Modern Data Engineer's AI Handbook: Proven Techniques to Design, Automate, and Optimize Data Systems for Machine Learning\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003eWhat makes some AI systems accurate, scalable, and trustworthy, while others collapse under real-world complexity? The difference isn't in the models. It's in the data engineering.\u003cbr\u003e\u003ci\u003eThe Modern Data Engineer's AI Handbook\u003c\/i\u003e is your blueprint for building data foundations that power reliable, high-performance AI at scale. This isn't another conceptual overview, it's a working manual for professionals who design, automate, and operate the pipelines that fuel machine learning in production.\u003cbr\u003eThrough practical architectures, working code examples, and field-tested labs, this book shows how to connect the dots between raw data, intelligent features, and model outcomes. You'll learn to design hybrid pipelines, manage feature stores, enforce data contracts, detect drift, and optimize for both cost and latency, without sacrificing governance or agility.\u003cbr\u003e\u003cb\u003eYou'll learn how to: \u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eBuild and automate end-to-end data pipelines for both batch and streaming workloads.\u003c\/li\u003e\n\u003cli\u003eDesign modern lakehouse and feature store architectures that support real-time and offline ML use cases.\u003c\/li\u003e\n\u003cli\u003eImplement data contracts, versioning, and testing practices that eliminate pipeline fragility.\u003c\/li\u003e\n\u003cli\u003eDeploy scalable MLOps workflows with CI\/CD, retraining triggers, and drift monitoring.\u003c\/li\u003e\n\u003cli\u003eOptimize infrastructure for performance, cost, and reliability across hybrid or multi-cloud environments.\u003c\/li\u003e\n\u003cli\u003eApply real operational playbooks, covering lineage, security, auditing, and performance tuning that scale in enterprise AI systems.\u003c\/li\u003e\n\u003c\/ul\u003ePacked with reproducible patterns, ready-to-use templates, and reference architectures, this book bridges the gap between theory and production. It translates modern data principles into actionable techniques for data engineers, data scientists, and architects who must make AI work, consistently and confidently.\u003cbr\u003eIf you've ever asked: \u003cul\u003e\n\u003cli\u003eHow can I prevent data drift from silently breaking my models?\u003c\/li\u003e\n\u003cli\u003eWhat's the right way to design feature pipelines for both training and inference?\u003c\/li\u003e\n\u003cli\u003eHow do I balance performance, scalability, and cost in real-world AI pipelines?\u003c\/li\u003e\n\u003c\/ul\u003eYou'll find the answers and the working blueprints inside this book.\u003cbr\u003eEquip yourself with the skills and systems every modern AI team needs.\u003cbr\u003e\u003cb\u003eStart building reliable, adaptive, and intelligent data pipelines today with \u003ci\u003eThe Modern Data Engineer's AI Handbook\u003c\/i\u003e.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Leon Amsel\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798271400506\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 10\/24\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 574\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.17lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 1.16d","brand":"Leon Amsel","offers":[{"title":"Paperback","offer_id":48997210358015,"sku":"9798271400506","price":43.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/the-modern-data-engineers-ai-leon-amsel-9798271400506","provider":"WR Book House","version":"1.0","type":"link"}