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. If you are an analytics professional looking to get familiar with Microsoft’s Azure stream analytics, then this Course is perfect for you!
This comprehensive 2-in-1 course is concise and appropriate for evaluating deep aspects of building real-world data-centric and data processing with the Azure Data Platform! You’ll begin with implementing Azure's simple, declarative model to build real-time data transformations for processing IoT streams, real-time data analysis, and more! Understand the development aspects of Azure Stream analytics to build real-time event processing solutions. Finally, you’ll build end-to-end analytics solutions with Azure Stream Analysis!
By the end of the course, you’ll understand the development aspects of Azure Stream analytics to build end-to-end, real-time event processing solutions!
Contents and Overview
This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.
The first course, Real-time Data Processing with Azure Stream Analytics, covers real-time data processing with Azure Stream Analytics. 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.
The second course, Managing and Monitoring Streaming Solutions in Azure, covers the development aspects of Azure Stream analytics to build real-time event processing solutions. This course will give you a good understanding of the development aspects of Azure Stream analytics to build real-time event processing solutions. The course mainly focuses on monitoring scaling aspects to increase throughput in your streaming jobs and supplies a varied troubleshooting guide for big data developers/architects. The course provides end-to-end demonstrations for solutions to real-world business problems related to Internet of Things and fraud detection scenarios with the help of Microsoft Cortana Intelligence Gallery.
By the end of the course, you’ll understand the development aspects of Azure Stream analytics to build end-to-end, real-time event processing solutions!
About the Authors
● Anindita Basak is working as Big Data & Cloud Architect for one of Computer Software giant & working with Microsoft Azure for last 8+ years. She has worked with various teams of Microsoft as FTE in the role of Azure Development Support Engineer, Pro-Direct Delivery Manager, and Partner Technical Consultant. She has been technical reviewer for five books from Packt Publisher on Azure HDInsight, SQL Server Business Intelligence, and Hadoop Development & Smart Learning with Internet of Things & Decision Science. Recently, she authored two video courses on Azure Stream Analytics from Packt Publishing.
