Grimoire.
Written by
Written by
Cole Freeman
Cole Freeman
Streamline Your Data Pipeline: Mage Pro's Deployment and Version Control Guide for 2025

Securely move data from SFTP to Google BigQuery using Mage Pro for automated analytics. This guide walks you through setting up a pipeline, connecting to SFTP, choosing data streams, configuring replication, transforming data, connecting to BigQuery, triggering syncs, and verifying data. Automate your data flow, eliminate manual errors, and get valuable business insights!
Mar 27, 2025
Step-by-step guide to connecting Mage Pro SQL blocks with Databricks

The guide provides a step-by-step tutorial for integrating Mage Pro SQL blocks with Databricks to create automated data pipelines. It walks through configuring Databricks credentials in Mage Pro, creating a pipeline, adding a data loader block to fetch API data (using golf rankings as an example), securely storing API keys, creating SQL blocks to transfer data to Databricks, and finally verifying the data through queries in Databricks. The integration aims to streamline data workflows by eliminating manual processes and creating a seamless connection between data sources and Databricks for analysis.
Mar 11, 2025
Streamline data transfer: The ultimate data integration guide SFTP to BigQuery

Securely move data from SFTP to Google BigQuery using Mage Pro for automated analytics. This guide walks you through setting up a pipeline, connecting to SFTP, choosing data streams, configuring replication, transforming data, connecting to BigQuery, triggering syncs, and verifying data. Automate your data flow, eliminate manual errors, and get valuable business insights!
Mar 4, 2025
Consolidate your data stack with Mage AI: Cut costs and complexity

Data teams in companies are drowning in too many different tools. Each tool does one thing well, but using them all together creates a mess that wastes time and money. Mage Pro fixes this by putting everything you need in one place instead of juggling separate programs like Airbyte, dbt Cloud, and others. With one system instead of many, teams spend less money on subscriptions, don't have to connect different tools together, work better as a team, and can adapt more easily when things change.
Feb 28, 2025
Azure Blob Storage file transfer using Mage Pro’s dynamic blocks

Companies are always looking for better ways to manage and process their data. In this blog post, we’ll explore a proof of concept developed for a leading beauty brand, demonstrating how Mage Pro can turn complicated data tasks into smooth operations. Whether you’re a data engineer, analyst, or simply interested in data management, this article will offer valuable insights into building effective data pipelines using Mage Pro, Azure Blob Storage, and Snowflake.
Oct 31, 2024
7 essential Mage features for data engineers in 2024

Explore how Mage can help developers build flexible and scalable data pipelines. This article guides you through features that will help data engineers streamline their workflow design, enhance data processing, and ensure reliable data pipeline execution. By leveraging Mage Pro’s advanced tools, data engineers can simplify complex processes and achieve greater productivity in their projects.
Oct 10, 2024
Your AI data engineer
© 2025 Mage Technologies, Inc.
Your AI data engineer
© 2025 Mage Technologies, Inc.