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Is your frontend slowing down innovation? Consider micro-frontends-a practical way to break development silos and accelerate feature... Læs mere
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Author Jim Dowling introduces fundamental MLOps principles and practices for developing and operating reliable ML systems and describes the key data platform that you'll use to build and operate your ML systems: the feature store.
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This practical book introduces data contract architecture with a clear definition of data contracts, explains why the data industry needs... Læs mere
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This study guide is your essential resource for mastering foundational AI concepts and AWS tools while preparing for the AIF-C01... Læs mere
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This book offers a practical guide to building scalable, customized AI solutions using the full potential of data lakehouse architecture. Author Bennie Haelen covers everything from deploying ML and GenAI models in Databricks to optimizing performance with best practices.
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In the world of software development, distributed systems have proven essential yet remain complex. In this insightful... Læs mere
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Michael Lopp, a senior leader at companies such as Slack, Pinterest, and Apple, brings the day-to-day reality of senior leadership... Læs mere
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This practical guide covers the relevant offensive and defensive security techniques to audit and... Læs mere
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Authors Holden Karau, Rachel Warren, and Anya Bida walk you through the secrets of the Spark code base, and demonstrate performance optimizations that will help your data pipelines run faster, scale to larger datasets, and avoid costly antipatterns.
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In this second edition, authors Martin Kleppmann and Chris Riccomini build on the foundation laid in the acclaimed first edition, integrating new technologies and emerging trends.
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Authors Henning Schwentner and Carola Lilienthal guide software architects, technical leads, and senior engineers through practical, incremental strategies to evolve legacy systems without the disruption of a full rewrite.