Real Time Streaming with Azure Databricks and Event Hubs

🚀Join me in this tutorial as we build a real-time analytics streaming solution using Azure Databricks and Event Hubs.

⌚Timestamps:
Project Overview: 00:00:00
Solution Architecture: 00:00:44
Event Hubs Overview and Implementation: 00:04:11
Databricks Cluster and Library Set Up: 00:12:32
Importing the Project Notebook: 00:16:35
Initiating the Stream and Processing the Bronze Layer: 00:18:20
Processing the Silver Layer: 00:33:08
Processing the Gold Layer: 00:43:51
Near Real-Time Power BI Report: 00:54:43
Project Debrief: 00:59:41

🔥Project Overview:
We'll start by creating real time data in Azure Event Hubs and then store and process the data in our Databricks Lakehouse, implementing the Bronze, Silver, and Gold layers of the Medallion Architecture. The final step involves creating a near real-time report on Power BI, showcasing the power of streaming analytics.

Links and Resources
🔗 GitHub: https://github.com/malvik01/Real-Time...
🔗 Spark Structured Streaming API: https://spark.apache.org/docs/latest/...
🔗 Watermarking: https://www.databricks.com/blog/featu...
🔗 Check Out My Udemy Courses: https://www.pathfinder-analytics.net/...

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🔖 Tags
azure data engineering, end-to-end azure data engineering project, azure data engineering project free

Hashtags
#azure #dataengineering #databricks #DataEngineeringProject #RealTimeDataEngineering #EventHubsTutorial #BigDataSolutions #CloudDataEngineering #DataScienceProject #AzureStreaming #AdvancedDataEngineering