Streaming Analytics with Azure Databricks, Event Hub, and Delta Lake: A Step-by-Step Demo

In this video, we'll show you how to build a real-time data pipeline for advanced analytics using Azure Databricks, Event Hub, and Delta Lake. We'll provide a step-by-step demo of the entire process, from setting up the tools to processing and analyzing real-time data.
We'll cover the key features of each tool and show you how they work together to enable real-time stream processing and analysis. You'll learn how to configure Azure Event Hub to receive streaming data, how to use Azure Databricks to process and transform the data in real-time, and how to save the processed data into Delta Lake for further analysis and reporting.
Whether you're new to streaming analytics or looking to optimize your existing pipeline, this video will provide you with the practical knowledge and tools you need to build a scalable and reliable streaming data architecture.

[@DineshP-dp8rx]

Amazing project

[@SoftWizCircle]

Thanks

[@3Jerrica]

Can you please list all of the tools you’re using for me to follow along step by step? That would be extremely helpful.

[@matthewmark7224]

where do we get the app?

[@abhishekkumartiwari1207]

How to stop my job as it is continuously running

[@SoftWizCircle]

there is stop button for stopping job.