ETL Pipelines with Flow PHP with Norbert Orzechowicz

Ever thought that building proper ETL (Extract, Transform, Load) pipelines in PHP was overly complex or memory-intensive? You're not alone. But what if there was a framework designed specifically to make it simple, elegant, and incredibly efficient?

Meet PHP Flow.

In this practical, hands-on tutorial, We will show you how the Flow PHP framework revolutionizes data processing. We'll build a complete ETL pipeline from scratch, demonstrating how Flow's powerful components make handling large datasets a breeze.

Our mission is clear: We will use PHP Flow's Adapters to Extract data from a large file, Transform it on the fly without hitting memory limits, and Load it directly into a database. To complete the circle, we'll then build a clean RESTful API to serve that same data as JSON.

This isn't just theory. This is a real-world demonstration of how PHP Flow brings modern, scalable data processing to the PHP ecosystem.

✅ In this video, you will learn:

What ETL is and how PHP Flow provides the perfect toolset for it.

How to build a complete data pipeline using the Flow PHP framework.

How to use Flow's Adapters to easily Extract data from sources like CSV.

How to perform memory-safe in-stream Transformations on your data.

How to use Adapters again to Load data into a database or any other destination.

How to quickly expose your processed data via a RESTful API.

Norbert Orzechowicz is a veteran software engineer and architect with over 16 years of experience building high-scalability web applications and data processing systems.

He has worked with a diverse range of companies around the world, from innovative startups to large enterprises, helping them architect, build, and scale their critical systems. As a passionate maintainer of several open-source projects, Norbert enjoys automating and optimizing everything he touches, with a current focus on his work with the Flow PHP framework.

Flow PHP Website: flow-php.com

Flow PHP Github: github.com/flow-php/flow