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

This tutorial walks you through Microsoft Fabric, showing you how to set up, connect data, build pipelines, and collaborate—all in one practical guide!

Learn how to update multiple columns in SQL using a single query for improved efficiency. Explore practical advanced techniques and examples, including single row updates and multiple row updates.

Learn how to use a Python API to connect systems and give your projects real-time data. Discover how to retrieve, send, and process data, and make your applications dynamic and responsive.

Ready to start with dbt and take data modeling to the next level? This hands-on tutorial dives into essential techniques and project patterns to help you build intuitive, high-quality data warehouses with dbt.

Discover how WHERE filters row-level data in SQL queries, while HAVING filters grouped data after aggregation, and master their distinct uses in SQL querying.

Understand the SQL order of execution and how its different from the order of writing. Write accurate and optimized queries for improved performance and avoid common mistakes in query design.

Learn how to install Jenkins on Windows, set up and run Jenkins agents and pipelines, and build MLOps projects with Jenkins pipelines from model training to model serving.

Python dlt is a great choice for data engineers who want to move data fast and confidently. It integrates with almost any source and destination and lets you write your ELT/ETL pipelines quickly. This tutorial shows you how to control every step of the pipeline and work with local files, cloud, databases, and REST APIs.

A transitive dependency occurs when one attribute in a database indirectly relies on another through a third attribute, causing redundancy. Keep reading to learn how to identify and eliminate transitive dependencies in database design .

Discover GitHub Codespaces, the development environment that allows you to write, run, and deploy your code anywhere.

This tutorial teaches you how to create, manage, and use Amazon SQS queues for building scalable distributed applications on AWS, with practical examples using both the console and the CLI.

DuckDB is a powerful analytical engine that lives on your laptop. You can use it to speed up data reading and processing and reduce your pipeline runtimes from minutes to seconds. Follow this hands-on guide to learn how.