ISBN: 9798293649228 - data engineering with python: build etl pipelines and data workflows from scratch (11 resultados)

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Paperback. Condición: new. Paperback. Turn Raw Data into Reliable Insights-One Pipeline at a Time.In a world where data is the new oil, being able to move, clean, transform, and store data efficiently is a game-changing skill. Data Engineering with Python gives you the tools and know-how to build end-to-end ETL pipelines and robust data workflows-from scratch.This book is built for developers, analysts, and aspiring data engineers who want a clear, hands-on guide to real-world data engineering. You'll master how to extract data from APIs and databases, clean and structure it using Python, and load it into data warehouses for downstream analysis. With step-by-step walkthroughs, best practices, and scalable architecture patterns, you'll go beyond the theory and start building production-grade systems.Whether you're working with batch or streaming data, local files or cloud services-this book will equip you with the Python-first approach to build pipelines that are scalable, maintainable, and ready for the modern data stack. What You'll Learn: ETL fundamentals and how to build pipelines from zeroUsing Pandas, SQLAlchemy, and Airflow for real-world workflowsConnecting to APIs, CSVs, SQL, NoSQL, and cloud storageData validation, logging, and error handling for clean pipelinesIntroduction to orchestration, scheduling, and automationBest practices for modular, testable pipeline codePerfect For: Aspiring data engineers and developersData analysts looking to automate and scale workflowsBackend engineers working with data-heavy applicationsAnyone transitioning into data engineering roles This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condición: new. Paperback. Turn Raw Data into Reliable Insights-One Pipeline at a Time.In a world where data is the new oil, being able to move, clean, transform, and store data efficiently is a game-changing skill. Data Engineering with Python gives you the tools and know-how to build end-to-end ETL pipelines and robust data workflows-from scratch.This book is built for developers, analysts, and aspiring data engineers who want a clear, hands-on guide to real-world data engineering. You'll master how to extract data from APIs and databases, clean and structure it using Python, and load it into data warehouses for downstream analysis. With step-by-step walkthroughs, best practices, and scalable architecture patterns, you'll go beyond the theory and start building production-grade systems.Whether you're working with batch or streaming data, local files or cloud services-this book will equip you with the Python-first approach to build pipelines that are scalable, maintainable, and ready for the modern data stack. What You'll Learn: ETL fundamentals and how to build pipelines from zeroUsing Pandas, SQLAlchemy, and Airflow for real-world workflowsConnecting to APIs, CSVs, SQL, NoSQL, and cloud storageData validation, logging, and error handling for clean pipelinesIntroduction to orchestration, scheduling, and automationBest practices for modular, testable pipeline codePerfect For: Aspiring data engineers and developersData analysts looking to automate and scale workflowsBackend engineers working with data-heavy applicationsAnyone transitioning into data engineering roles This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…