Description
Build and Deploy ETL Pipelines with Python. This course teaches the essential skills to design and implement data extraction, transformation, and loading processes. Focusing on Python, this course teaches participants how to build efficient and automated data workflows. Topics begin with the basics of connecting to databases and extracting data from various sources, such as raw files, using SQL queries and custom connectors. Next, learners learn how to extract data from REST APIs and parse the responses to pass information to the pipeline. The final part of the course focuses on automating and scheduling these processes to eliminate manual intervention, save time, and ensure operations run smoothly. By the end of the course, participants will be fully capable of building an integrated ETL pipeline that connects to the database, interacts with APIs, and runs automatically.
What you will learn
- Building an efficient ETL pipeline using Python.
- Connect to databases and raw files to extract data.
- Retrieve data through SQL queries and database connectors.
- Extract data from REST APIs and parse responses.
- Automate and schedule ETL tasks to reduce manual intervention.
This course is suitable for people who:
- Data science enthusiasts, data engineers, and data analysts looking to automate their data processes.
- Python programmers who want to improve their skills in working with data and building pipelines.
- Anyone working on projects that require the integration of multiple data sources and looking for efficient solutions for data management.
Build and Deploy ETL Pipelines with Python course specifications
- Publisher: Pluralsight
- Instructor: Ian Fogelman
- Education level: Intermediate
- Training duration: 1 hour and 7 minutes
Course topics
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
1.0 GB
