Azure Databricks provides an environment that allows us to create scalable machine learning pipelines with ease. By using the notebooks in Azure Databricks, we can run our data analytics and machine learning code in the cloud with powerful Azure resources in the backend. By implementing MLlib, we can create scalable machine learning pipelines behind Apache Spark. Utilizing third-party tools is a great way to bring everything together to build extremely powerful learning algorithms and train them much faster than on our local machines.