Supercharge Your Data Engineering Skills with This Machine Learning Pipeline
Last Updated on July 17, 2023 by Editorial Team
Author(s): ????Mike Shakhomirov
Originally published on Towards AI.
Data modeling, Python, DAGs, Big Data file formats, costs⦠It covers everything
Photo by Peter Olexa on Unsplash
This is a real-life scenario when I was tasked to create a highly scalable machine learning pipeline with raw event data sent from the mobile application.
The story offers a set of advanced techniques that might be useful for interview preparation.
Learn how to work with raw data, transform it, enrich it to prepare for machine learning, export it to the data lake and archive raw when it is no longer needed.
Everything featured in this story assumes you have a Google Cloud Platform (GCP) account and you are familiar with basic Python and data warehousing concepts.
If not,… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming aΒ sponsor.
Published via Towards AI