Data Engineering Tutorials | Read, Learn, & Grow Your Skills

Learn to automate the generation of data reports using Makefile and GitHub Actions.

Master the basics of extracting, transforming, and loading data with Apache Airflow.

A comparison between two data orchestration tools and how they may be utilized to improve data workflow management.

This article serves as an in-depth guide that introduces AWS Step Functions, their key features, and how to use them effectively.

Discover how to leverage Snowflake Time Travel for querying history, cloning tables, and restoring data with our in-depth guide on database recovery.

Explore Apache Kafka with our beginner's guide. Learn the basics, get started, and uncover advanced features and real-world applications of this powerful event-streaming platform.

Level-up your data modeling skills by diving head-first into slowly changing dimensions. Sharpen your skills with hands-on examples using Snowflake, and identify common challenges and solutions when implementing SCD.

Discover what hashmaps are and how they are implemented in Python through dictionaries.

Learn the fundamentals of cloud data warehouse management using Snowflake. Snowflake is a cloud-based platform that offers significant benefits for companies wanting to extract as much insight from their data as quickly and efficiently as possible.

Learn the 7 most important concepts around dbt - the favorite tool of modern data engineers.

Learn how to connect and analyze MongoDB databases in Python.

Learn the basics of bringing your data pipelines to production, with Apache Airflow. Install and configure Airflow, then write your first DAG with this interactive tutorial.