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Artículo: AMZ-B0FX5TQ3R7
Mastering Data Modeling with Snowflake: A Practical Guide to Building Scalable, High-Performance Data Models Using Proven Universal Techniques
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0.87 kg
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Amazon
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USA
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- Mastering Data Modeling with Snowflake: A Practical Guide to Building Scalable, High-Performance Data Models Using Proven Universal TechniquesIn today’s data-driven era, organizations rely on accurate, efficient, and scalable data models to power analytics, automation, and business decisions. Mastering Data Modeling with Snowflake is a complete, hands-on guide designed to help data engineers, architects, and analysts build reliable, high-performance data models that take full advantage of Snowflake’s cloud-native architecture.This book bridges the gap between theory and practice, showing you how to translate business requirements into optimized data structures that perform efficiently under real-world workloads. Whether you are new to Snowflake or looking to deepen your expertise, this guide provides the clarity and practical insight needed to design modern data warehouses with confidence and precision.What You Will LearnUnderstand the foundations of modern data modeling and how cloud-based systems like Snowflake have transformed traditional design principles.Explore Snowflake’s unique architecture, including its separation of storage, compute, and services layers, and how these influence modeling decisions.Design efficient schemas using proven techniques — from star and snowflake models to hybrid approaches combining dimensional and Data Vault methodologies.Work effectively with semi-structured data (JSON, Avro, and Parquet) using Snowflake’s native VARIANT, ARRAY, and OBJECT types.Implement Slowly Changing Dimensions (SCD Types 1–3) and track historical data with Streams, Tasks, and Time Travel.Optimize performance and cost through intelligent clustering, pruning, and materialized views.Apply advanced security and governance controls, including row-level security, dynamic data masking, and object tagging.Integrate models with ETL/ELT workflows using dbt, Snowpipe, and other orchestration tools for continuous, automated transformation.Prepare your models for analytics and machine learning, creating data marts, feature stores, and pipelines that scale seamlessly.Each chapter blends clear explanations, authentic SQL examples, and real-world case studies from industries such as e-commerce, finance, and IoT — ensuring you gain practical skills that go beyond theory.Who This Book Is ForThis book is ideal for:Data Engineers seeking to design robust, scalable Snowflake data pipelines.Data Architects aiming to modernize legacy systems into cloud-based analytical platforms.Business Intelligence Developers and Analysts who want to better understand how data models impact reporting performance and accuracy.Students and Learners looking to gain a strong foundation in Snowflake and modern data modeling principles.Whether you’re starting from scratch or refining existing systems, this book equips you with the mindset, methodology, and technical know-how to model data for performance, reliability, and growth.Why This Book Stands OutPractical focus: Every concept is paired with SQL examples, exercises, and hands-on scenarios.End-to-end coverage: From conceptual design to physical optimization, you’ll learn every phase of data modeling.Real-world relevance: Includes examples from real companies and industries using Snowflake at scale.Future-proof skills: Teaches universal modeling techniques adaptable to any cloud data platform.Take the Next StepIf you are serious about mastering Snowflake and becoming the kind of professional who can design fast, flexible, and future-ready data systems, this book is for you.By the end of this guide, you won’t just understand data modeling — you’ll know how to build scalable, governed, and high-performing data architectures that drive business insights and innovation.Start building smarter data models today. Get your copy of Mastering Data Modeling with Snowflake and take control of your data architecture future.
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