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Synopsis
Data Engineering Fundamentals: A Step-by-Step Approach
Unlock the Power of Data with Practical Guidance from a Data Engineering Expert. In 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, including AWS, Azure, Databricks, and SQL databases.Best Practices: Learn how to design, optimize, and maintain efficient data pipelines.Future-Ready Skills: Discover cutting-edge techniques in automation, machine learning integration, and cloud infrastructure.
Whether you're just beginning your journey or looking to advance your career, this book equips you with the essential knowledge and skills to become a proficient DE.
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Data Engineering Fundamentals : A Step by Step Approach
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Every company today runs on data - but who builds the systems that make data usable Data engineers do. And this book is where you start.Data Engineering Fundamentals: A Step-by-Step Approach is a practical, beginner-friendly guide that takes you from zero to building real data pipelines. No fluff, no assumptions - just clear explanations, diagrams, and hands-on examples using industry-standard tools.What you'll learn:How data flows from source to insight - the complete data lifecycle.Building ETL pipelines using Azure Data Factory and Databricks.Data modeling and database design principles that scale.Data warehousing strategies for analytics-ready systems.Big data technologies and when to use them.Data quality frameworks and governance with Azure Purview.Security best practices - encryption, RBAC, and compliance.Whether you're a student exploring data careers, a software developer pivoting to data engineering, or an analyst who wants to understand what happens behind the dashboard, this book gives you the structured path to get there.Written by Sandeep Kumar Pandey, a data engineer and cloud architect with 18+ years of industry experience and author of the Amazon Bestseller Mastering Generative AI. Seller Inventory # 9798895447284
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