Real-Time Data Stream Processing in Azure: Delve into big data streaming with Azure using Event Hubs, Data Lake, and Azure Stream Analytics

Hersh Bhasin

€22.99

Video Jun 2020 1hr 14mins 1st Edition

Hersh Bhasin

€22.99

Video Jun 2020 1hr 14mins 1st Edition

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Key benefits

Learn to think of data as an ever-flowing stream of events
Discover how to harness the power of data events using Azure Stream Analytics
Get up to speed with Azure Event Hubs

Description

A modern digital company captures a large amount of data every day. This data gets locked in data islands such as caches, queues, and logs, and extracting this data and making it useful poses a major challenge. Real-time data processing is the most effective alternative to traditional extract, transform, and load (ETL) processes. This course will help you to think of data as an ever-flowing stream of events instead of data as islands locked away in databases. This course employs live labs to get you up to speed with Azure Event Hubs and teach you how to create C# console applications for sending and receiving data from Event Hubs. As you advance, you'll learn how to capture and archive data from Azure Event Hubs to Azure Data Lake. The subsequent videos will show you how to provision Event Hubs, Data Lake, and SQL Server databases in Azure. Toward the end of the course, you'll write an analytics job to stream live data from an event hub to a SQL Server database. By the end of this course, you'll have developed a solid understanding of how to stream big data using Azure Stream Analytics. All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Real-Time-Data-Stream-Processing-in-Azure

Who is this book for?

This course is for Azure developers and big data engineers looking to change their approach to data processing. To take this course, you should have an Azure portal account. A free Azure trial account will also work.