Build a Data Pipeline Using Python | Setup Project and Read Table List | Data Engineering

Published: 01 January 1970
on channel: itversity

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In this session, you'll follow along with a live demonstration of building a complete data pipeline using Python. We'll cover everything from setting up the project and connecting to databases to extracting, transforming, and loading data. This isn't just about the code; we'll dive into the essential nuts and bolts that ensure your pipeline is robust, efficient, and scalable!**

Topics Covered:
What are the prerequisites for building a data pipeline? (Source & target databases, VMs, Docker setup)
How to setup initial project for data pipeline? (requirements.txt and its significance.)
SQLAlchemy vs Direct Connections, what's best? (Discussion on when to use SQL Alchemy)
How to initialize a Git repository and manage code versioning? (git init, .gitignore, commit messages, branching basics)
How to read a table list from a file and load only specific tables? (using pandas)
How to externalize database properties for different environments? (config.py, OS environment variables, runtime configurations)
How to use the OS library to externalize database properties? (runtime configurations)
What are the best practices for creating clean and maintainable code? (Avoiding print statements, proper commenting)
Copy Command for bulk insert, when to use? (Incremental load or full load?)
When we should avoid database joins? (Join table for the performance issue, how to improve?)

Timestamps:
00:00:00 — Introduction to Apache Spark - Setup Data Engineering Project
00:02:20 — Setting up the Project in PyCharm
00:39:56 — Using Git and GitHub for Version Control
00:53:53 — Creating a File with List of Tables to Load
00:59:34 — Reading Table List with Pandas

This video is part of a comprehensive series on building data pipelines with Python. Be sure to check out the complete playlist for a step-by-step guide to mastering ETL processes and data engineering techniques.
Full Playlist: • Build a Data Engineering Pipeline using Py...
Next Video: https://youtube.com/live/czJ0j-9FK08

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