Real-time Data Processing with Azure Stream Analytics [Video]

More Information
Learn
  • A comprehensive introduction to real-time event processing with Azure Stream Analysis.
  • Azure Stream Analytics and Interactive Data Analysis
  • Developing real-time event processing with Azure streaming
  • Integrate BI and enhance features in Azure Stream Analytics
  • Design and manage Stream Analytics jobs
About

Microsoft Azure is a very popular cloud computing service used by many organizations around the world. Its latest analytics offering—Stream Analytics—allows you to process and acquire actionable insights from different kinds of data in real-time. This video is your guide to understanding the basics of how Azure Stream Analytics works, and then building your own analytics solution using its capabilities. You will start by learning what stream analytics is, and why it is a popular choice for acquiring real-time insights from data. Then you will be introduced to Azure Stream Analytics, and learn how you can use the tools and functions in Azure to develop your own Streaming Analytics. During the course of the video, you will build streaming solutions for the IoT, fraud detection, real-time event processing, and more. The video also shows you how you can manage, monitor, and scale your solution for optimal performance. By the end of this tutorial, you will have mastered using Azure Stream Analytics to develop an efficient analytics solution that can work with any type of data.

Style and Approach

The course is concise and appropriate for evaluating deep aspects of building real-world data-centric and data processing with Azure Data Platform.

Features
  • Leverage Azure's fully-managed, scalable, real-time event processing engine to unlock deep insights from data
  • Utilize years of Microsoft research into developing highly tuned streaming engines for time-sensitive processing.
  • Implement Azure's simple, declarative model to build real-time data transformations for processing IoT streams, real-time data analysis, and more
Course Length 2 hours 51 minutes
ISBN 9781788395885
Date Of Publication 30 Aug 2017

Authors

Anindita Basak

Anindita Basak works as a cloud solution architect in data analytics and AI platforms and has been working with Microsoft Azure from its inception. With over a decade of experience, she helps enterprises to enable their digital transformation journey empowered with cloud, data, and AI. She has worked with various teams at Microsoft as FTE in the role of Azure Development Support Engineer, Pro-Direct Delivery Manager, and Technical Consultant. She recently co-authored the book Stream Analytics with Microsoft Azure, and was a technical reviewer for various technologies, including data-intensive applications, Azure HDInsigt, SQL Server BI, IoT, and Decision Science for Packt. She has also authored two video courses on Azure Stream Analytics from Packt.