Hey guys!!
In this quick post today, I would like to share with you some materials to learn about Azure Data Factory (ADF) without paying anything – FOR FREE! If your excuse for learning the most promising ETL/ELT tool on the market was the cost of the courses/training, now it's gone!

For those who don't know, Azure Data Factory is a 100% cloud solution from Microsoft, whose objective is to promote an evolution of SQL Server Integration Services (SSIS), delivering several improvements, a completely renewed and rethought interface, running Spark clusters “under the hood”, with support for APIs, HTTP requests and most of the current and most modern connectors available, with an alert solution, monitoring, native integration with GitHub and Azure DevOps and with all the necessary features to create a robust, modern, performant Data Warehouse without depending on a client, server, VPN or anything else.

Therefore, here are some lives and videos to learn Azure Data Factory without spending anything and without leaving home.

Happy Hour with Data #13 – ETL Tools

In this live, we present some of the most used ETL tools on the market: Pentaho (PDI), Alteryx, SQL Server Integration Services (SSIS) and Azure Data Factory (ADF)

Power Week | Getting to know Azure Data Factory in depth for BI projects

In this live, I tried to go beyond the basics of Azure Data Factory to help you with your BI projects. Azure Data Factory is a very complete tool for carrying out ETL processes in Azure.

It comes with many benefits compared to Microsoft Integration Services and I tried to mention several in this live. But there is a cost to it, and in some cases, SSIS can save a lot of money from your company's budget. On this security issue, I also made it very clear that Azure Data Factory is MUCH better than any other ETL tool on the market in this regard.

Azure Data Factory: ETLs, data pipelines, and cloud integrations

How about implementing data extraction and transformation processes (ETLs) in the cloud with a service that requires minimal effort, is robust and allows quick integration with the main technologies on the market? Follow this FREE ONLINE presentation to learn how Azure Data Factory can be an excellent answer to this type of need!

Azure Data Factory: ETLs, data pipelines, and cloud integrations – Part 2

In this part 2 of the live, we show an overview of ADF, as well as the Copy Data Tool, dynamic pipelines (Data-driven), consumption of Rest APIs (with Auth and API Key) and integration with Azure DevOps.

Happy Hour with Data #9 – From Application to Dashboard

In the ninth live of “Happy Hour with Data”, we presented an end-to-end BI project: Creation of ETL with Azure Data Factory and Azure Logic Apps, data being written to SQL Server and MongoDB, an API using NodeJS will be created to make this data available, Creation of a model in Azure Analysis Services and reading this data using Power BI. This data will still be brought back to SQL Server using SSIS!!

Microsoft Solidarity Community – Connecting your company with Azure Analytics Platform

Lectures: Enterprise Tools for ETL: The basis of every robust BI project (Dirceu Resende), Democratization of Corporate Data for BI projects (Vithor Silva) and Enriching your analyzes with AI and ML services (Rafael Mendonça)

Azure Data Factory Playlist (in English)

Super complete playlist with more than 85 videos about Azure Data Factory!!

DataOps and Reporting in Azure DevOps

Live focused on showing the complete integration between a BI solution with Azure DevOps, using Azure SQL Database, Azure Data Factory, Azure Analysis Services and Power BI.

And that's it, folks!
I hope you liked these tips, a big hug and see you next time!