本课程教你使用Python高效构建ETL管道，涵盖数据库连接、REST API数据提取、数据转换及工作流自动调度，助你简化复杂数据流程，适合中级学习者。
原始标题：Build and Deploy ETL Pipelines with Python
Released 4/2025
By Ian Fogelman
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 7m | Size: 1 GB
Learn to build efficient ETL pipelines with Python. This course will teach you how to connect databases, extract data from REST APIs, transform it, and automate workflows using scheduling tools.
Managing data workflows can be time-consuming and complex, especially when you need to integrate multiple data sources and automate tasks. In this course, Build and Deploy ETL Pipelines with Python, will teach you how to efficiently build automated data workflows. First, you’ll explore how to extract data by connecting to databases and raw files using Python and retrieve data through various methods, including SQL queries and database connectors. Next, you’ll discover how to extract data from REST APIs and parse responses, allowing you to pull data from web services into your pipeline. Finally, you’ll learn how to automate and schedule ETL tasks, saving time and reducing manual intervention. When you’re finished with this course, you’ll have the skills and knowledge needed to design and automate end-to-end ETL pipelines that connect to databases, integrate with REST APIs, and run on schedule, all using Python.
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