Data Engineering Articles

Learn to use MLflow to track and package a machine learning model, and see the process for getting models into production.

In this session, you'll learn fundamental concepts of data pipelines, like what they are and when to use them, then you'll get hands-on experience building a simple pipeline using Python.

In this code-along, JP shows you how to use Weaviate, a leading open source vector database, to build apps that can understand and manipulate them based on meaning.

Learn how to manage the features for your machine learning models, to save you time and improve the consistency of your models.

In this live training, you'll learn about data cleaning, shaping and loading techniques and learn about common database schemas for organizing tables for analysis.

Learn how to join data together to get it into a state for analysis.