Description

Real-time Data Processing with Azure Stream Analytics

Real-time Data Processing with Azure Stream Analytics
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 651 MB Genre: eLearning | Language: English
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.

How this course will help you

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.

Azure Stream Analytics simplifies the process of analyzing data from sources such as website clickstreams and IoT sensors.

How this course will help you

Azure Stream Analytics is a fully managed real-time data processing service that can ingest data from multiple sources, perform real-time computations, and generate insights.

During the course of this video, you will build streaming solutions for IoT, fraud detection, real-time event processing, and more.

You will also learn to manage 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.

This is a course designed to teach you how to use Azure Stream 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.

How this course will help you

Learn how to develop data-driven applications using Azure Stream Analytics. In this course, you will learn how to apply an event-driven architecture and build streaming solutions for IoT, fraud detection, real-time event processing, and more.

The course also includes a full lab that helps you master the features of Azure Stream Analytics.

Azure Stream Analytics is a fast, fully managed and fully parallel data processing service that ingests real-time streaming data and performs low-latency analytics on it in the cloud. It can scale to thousands of cores and petabytes of ingested data.

This sample video shows you how to build streaming solutions for IoT, fraud detection, event processing, and more by using Azure Stream Analytics.

This video tutorial illustrates how to configure the Azure Stream Analytics service for high-performance real-time analytics.

It also demonstrates how you can use the Azure Stream Analytics query editor to build streaming solutions for IoT, fraud detection, and other applications.

This course will teach you how to use Azure Stream Analytics to process real-time data in the cloud.

By the end of this training, you’ll be able to build automated data processing applications that ingest a variety of streaming data feeds. You’ll also be able manage, scale and monitor your solution, as well as create robust security policies and monitoring tools.