Webinar: Build/Run Data Pipelines with Bitnami Apache Airflow in Azure

David DumasDataOps, AI & ML Services

We recently appeared on a Webinar with Bitnami Head of Solutions Architecture, Enterprise & Cloud Platforms, Matt Small. Joining us as well was Azure Database expert, Parikshit Savjani.

As a result of our experience in building and managing a wide variety of systems, we know Apache Airflow pretty well! We were happy to be invited along for the ride on this Webinar so we could talk a little shop. What followed was a great look at how to build and run data pipelines with Bitnami Apache Airflow in Azure.

We talked functions, processes, and capabilities. Why? Well, so you can know what the deal is! We even delved into a few case studies for you. All in all, a good time was had and we hope you learned something too!

For the uninitiated, let’s start at the beginning. Just what is Apache Airflow anyway?

What is Apache Airflow?

Apache Airflow is a popular open source workflow management tool. It is used to orchestrate ETL pipelines, machine learning workflows, and many other creative use cases. What’s the benefit? It provides a scalable, distributed architecture that makes it simple to author, track and monitor workflows. And who doesn’t want that?

Embedded below is a recording of the webinar. It is also available on YouTube by clicking the following link

Build and Run Data Pipelines with Bitnami Apache Airflow in Azure

We appreciate having the opportunity to talk a little shop with Matthew and
Parikshit. There are a lot of tools in this arena and Apache Airflow provides the user with a host of options for managing and monitoring workflows. As a result, you can streamline your processes, enhance efficiency, and do more with your technology.

There’s a lot to like about it. Please check out the webinar above and let us know what you think! Once again, thank you to Bitnami, Matthew, and Parkishit for allowing us to jump in and talk a little shop!