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By Hersh Bhasin


About this video

A contemporary digital firm captures a considerable amount of knowledge day by day. This knowledge will get locked in knowledge islands resembling caches, queues, and logs, and extracting this knowledge and making it helpful poses a significant problem. Actual-time knowledge processing is the best various to conventional extract, rework, and cargo (ETL) processes. This course will make it easier to to think about knowledge as an ever-flowing stream of occasions as an alternative of knowledge as islands locked away in databases.


This course employs stay labs to get you on top of things with Azure Occasion Hubs and educate you how one can create C# console purposes for sending and receiving knowledge from Occasion Hubs. As you advance, you’ll learn to seize and archive knowledge from Azure Occasion Hubs to Azure Knowledge Lake. The next movies will present you how one can provision Occasion Hubs, Knowledge Lake, and SQL Server databases in Azure. Towards the tip of the course, you’ll write an analytics job to stream stay knowledge from an occasion hub to a SQL Server database.


By the tip of this course, you’ll have developed a strong understanding of how one can stream massive knowledge utilizing Azure Stream Analytics.


All of the codes and supporting information for this course will probably be out there at-


In regards to the Creator

Hersh Bhasin

Hersh Bhasin is a broadcast creator and work as a Cloud Architect with J.P. Morgan Chase the place he’s a part of the Enterprise Cloud Options Structure group liable for creating cloud architectural blueprints, steering, Infrastructure as Code and greatest practices for fostering cloud adoption throughout the three public cloud suppliers (AWS, Azure and Google).


Dimension: 842MB



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