Build a PySpark pipeline in Mage Pro that fetches live cryptocurrency prices from Binance’s free API, calculates portfolio values using distributed computing, and exports results to Google BigQuery. This is all supported in Mage Pro and doesn’t require a complex Spark configuration. This is a perfect project for crypto portfolio tracking, price monitoring, or building trading dashboards.

This guide demonstrates how to connect Microsoft Fabric Warehouse to Mage Pro for automated data pipelines. The integration requires creating an Azure service principal for authentication, granting it access to your Fabric workspace, and configuring Mage with the connection credentials. Once set up, you can build data pipelines that pull data from external APIs (like weather services) and automatically load it into your Fabric warehouse.

Learn how to seamlessly connect your dbt models with Mage Pro pipelines to automate data workflows and load data into BigQuery. This step-by-step tutorial guides you through creating batch pipelines, configuring YAML files, and running dbt transformations in Mage Pro.

Migrations are usually scary, but they don’t have to be. Moving your dbt Cloud project to Mage Pro is almost as simple as cloning your dbt project into Mage Pro and running a pipeline. You can be fully migrated in about 10 minutes and start connecting your dbt models to Mage Pro blocks. This is a smooth transition

Mage Pro delivers an all-in-one data platform for extraction, transformation, and loading with real-time processing and multi-language support, while dbt Fusion specializes in ultra-fast advanced data transformation. Choose Mage Pro for simplicity and complete pipelines, or dbt Fusion for maximum transformation performance with external tool integration

How a solo developer at TechTree built a full-scale data warehouse using Mage, AI, and DBT—no team required. See Caleb’s journey from chaos to control.