Synopsis
Data Engineering Fundamentals: A Step-by-Step Approach
In today’s data-driven world, the ability to design, build, and manage robust data systems has become an essential skill. Data Engineering Fundamentals: A Step-by-Step Approach offers a clear and practical roadmap for anyone eager to understand how data truly powers modern businesses.
Written in an easy-to-follow style, this book demystifies complex data engineering concepts through real-world examples, visual explanations, and hands-on exercises. From data collection and storage to processing, transformation, and orchestration, readers will learn how to construct efficient, scalable, and reliable data pipelines from the ground up.
Each chapter builds on the last, guiding readers through essential tools and technologies such as SQL, ETL workflows, cloud platforms, and data modeling—without overwhelming jargon or assumptions of prior expertise.
Whether you’re a student exploring the data landscape, a professional transitioning into data roles, or an analyst seeking to expand your technical foundation, this book provides the structured learning path you need to succeed.
Data Engineering Fundamentals transforms theory into action, helping you develop the mindset and skills to build data systems that make information accessible, valuable, and insightful.
Discover how modern data infrastructure works—and how you can become the engineer who makes it all possible.
"synopsis" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. Data Engineering Fundamental: A Step by Step ApproachUnlock the Power of Data with Practical Guidance from a Data Engineering ExpertIn today's data-driven world, organizations thrive on the ability to harness, process, and analyze data effectively. Data Engineering Fundamental: A Step by Step Approach is the ultimate guide for aspiring data engineers, data analysts, and professionals seeking to build a robust foundation in data engineering.This comprehensive book breaks down the core concepts of data engineering, offering a practical, hands-on approach to mastering key tools and techniques. From data pipelines and ETL processes to cloud technologies and database optimization, you'll explore a wide range of topics essential for managing and transforming data at scale.Key features include: Real-World Case Studies: Apply your learning to scenarios faced by data engineers in leading industries.Step-by-Step Guides: Detailed instructions to walk you through complex data engineering processes.Tool Mastery: In-depth coverage of popular platforms such as AWS, Azure, Databricks, and SQL databases.Best Practices: Learn how to design, optimize, and maintain efficient data pipelines. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798895447284
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