Data Engineering with Python & SQL: Build Scalable Data Pipelines
暫譯: 使用 Python 和 SQL 的資料工程：建立可擴展的資料管道
Rodrigues, Diego, Smart Tech Content, Studiod21
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商品描述
Welcome to "DATA ENGINEERING WITH PYTHON AND SQL: Build Scalable Data Pipelines - 2025 Edition," a comprehensive and essential guide for professionals and students who wish to master the art of data engineering in a data-driven world. This book, written by Diego Rodrigues, a best-selling author with over 180 titles published in six languages, combines theory and practice to empower you in building efficient and scalable pipelines.
Python and SQL are indispensable tools for data engineers, enabling precise manipulation, integration, and optimization of data workflows. Throughout this book, you will be guided through fundamental and advanced topics, exploring everything from the basics of data engineering to sophisticated strategies for security, governance, and automation of pipelines in both on-premises and cloud environments.
Each chapter has been carefully designed to provide practical and applied understanding. You will learn to design database schemas, implement robust ETLs, automate workflows with frameworks such as Apache Airflow, and optimize SQL queries for high performance. Moreover, the book covers emerging topics like DataOps, API integration, and the use of Big Data tools such as Hadoop and Spark.
With practical examples, detailed scripts, and clear explanations, "DATA ENGINEERING WITH PYTHON AND SQL" is more than just a technical manual; it is a gateway to a transformative career in the data field. Get ready to stand out in a competitive market and propel your professional journey. Your transformation in data engineering begins now!
商品描述(中文翻譯)
歡迎來到《使用 Python 和 SQL 的資料工程：建立可擴展的資料管道 - 2025 版》，這是一本全面且必備的指南，適合希望在數據驅動的世界中掌握資料工程藝術的專業人士和學生。本書由 Diego Rodrigues 撰寫，他是一位暢銷書作者，擁有超過 180 本書籍以六種語言出版，結合理論與實踐，幫助您建立高效且可擴展的管道。
Python 和 SQL 是資料工程師不可或缺的工具，使得精確操作、整合和優化資料工作流程成為可能。在本書中，您將被引導學習基本和進階主題，探索從資料工程的基礎知識到在本地和雲端環境中管道的安全性、治理和自動化的複雜策略。
每一章都經過精心設計，以提供實用和應用的理解。您將學會設計資料庫架構、實施穩健的 ETL、使用 Apache Airflow 等框架自動化工作流程，並優化 SQL 查詢以達到高效能。此外，本書還涵蓋了新興主題，如 DataOps、API 整合，以及使用 Hadoop 和 Spark 等大數據工具。
透過實用的範例、詳細的腳本和清晰的解釋，《使用 Python 和 SQL 的資料工程》不僅僅是一本技術手冊；它是通往資料領域轉型職業的入口。準備好在競爭激烈的市場中脫穎而出，推動您的職業旅程。您的資料工程轉型現在開始！
