In this three-part training series, we’ll teach you how to get started with Azure Databricks, begin to understand its capabilities and how to put it into production in your own infrastructure to run workloads 10-100x faster than non-Databricks platforms, with the security and scale of Azure.
You should consider watching these sessions if you are a data engineer or data scientist interested in learning to use Azure Databricks, and how it can make an impact on your team.
Learn how to build your own Azure Databricks ETL pipeline, starting with ingestion, moving through transformation, and loading your data into a SQL Data Warehouse. Learn about how easy it is to use Azure Databricks and how you can run workloads up to 10-100x faster than non-Databricks platforms.
In the second training of our Azure Databricks Training series, we’ll teach you how to connect directly to data sources like TCP/IP sockets and the Kafka messaging system, transform and output data, and finally create compelling continuously-updated visualizations to drive greater impact for your teams.
In the third of the three-part training series, we’ll show you how you can use MLlib with Azure Databricks to train your own models, run replicable experiments, and deploy into production with fewer failing jobs to accelerate your organization’s data science efforts.