Real-Time Data Stream Processing In Azure
Learn Azure Big Data streaming with Event Hubs, Data Lakes & Stream Analytics. Process real-time data for powerful insights.
Course Content
Real-Time Data Stream Processing In Azure is a beginner-level Udemy course taught by Hersh Bhasin. It runs 1h 14m, is taught in English, and includes a certificate of completion. Learners rate it 3.9 out of 5 from 274 reviews, with 1,132 students enrolled. It is a paid course, first published December 2019.
Unlock the power of real-time data processing with this comprehensive course! Learn to embrace a modern data approach, viewing data not as isolated silos, but as a continuous stream of events. We'll dive deep into Azure Event Hubs, a scalable event ingestion service, and gain hands-on experience through live labs.
You'll master the art of building C# console applications to both send and receive data from Event Hubs, enabling you to capture and process data in motion. A key focus will be on capturing and archiving Event Hub data to Azure Data Lake Storage, providing a robust solution for long-term data storage and analysis.
This course provides a practical understanding of Azure services. You'll learn how to provision an Event Hub, Azure Data Lake Storage, and a SQL Server database within the Azure cloud.
Gain a deep understanding of Azure Stream Analytics, a powerful real-time analytics engine. We'll build a practical Analytics job to stream live data directly from an Event Hub to a SQL Server database, enabling immediate insights and data-driven decision-making. This course is perfect for anyone looking to leverage real-time data streaming and analytics in their applications.
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