Sinossi
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 zero
Using Pandas, SQLAlchemy, and Airflow for real-world workflows
Connecting to APIs, CSVs, SQL, NoSQL, and cloud storage
Data validation, logging, and error handling for clean pipelines
Introduction to orchestration, scheduling, and automation
Best practices for modular, testable pipeline code
Perfect For:
Aspiring data engineers and developers
Data analysts looking to automate and scale workflows
Backend engineers working with data-heavy applications
Anyone transitioning into data engineering roles
🛒 Buy Now and Build Your First Real ETL Pipeline Today
No more guesswork. No more disorganized scripts. Buy this book now and start building reliable, production-ready data pipelines with Python—even if you’ve never touched ETL before.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Data Engineering with Python: Build ETL Pipelines and...
Foto dell'editore
Data Engineering with Python: Build ETL Pipelines and Data Workflows from Scratch
Print on DemandDa: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Print on Demand. Codice articolo I-9798293649228
Compra nuovo
EUR 20,99
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Data Engineering with Python
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 4 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798293649228
Compra nuovo
EUR 20,56
Spedizione EUR 4,78
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Data Engineering with Python (Paperback)
Print on DemandDa: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: 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. Codice articolo 9798293649228
Compra nuovo
EUR 24,82
Spedizione EUR 42,48
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili