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所在平台: Udemy |
课程主页: https://www.udemy.com/course/azure-stream-analytics-end-to-end-analytics-solutions/
课程评论：没有评论
课程总结：Azure Stream Analytics - 端到端分析解决方案！ 本课程介绍了微软Azure云计算服务及其最新的实时数据分析工具——Stream Analytics。适合希望了解Azure Stream Analytics的分析专业人士，课程内容全面，包含两个部分，旨在深入探讨如何使用Azure数据平台构建以数据为中心的现实世界数据处理方案。 课程首先介绍了Azure Stream Analytics的基本概念以及其在实时数据分析中的应用，包括物联网流、实时事件处理等内容。学员将学习如何利用Azure的工具和功能开发自己的实时分析解决方案，掌握管理、监控和优化性能的方法。 课程的第一部分将重点介绍实时数据处理，包括IoT、欺诈检测和实时事件处理等领域的流处理解决方案的构建。学员将通过示例获得实践经验，完成一个高效的分析解决方案。 第二部分则聚焦于流处理解决方案的管理与监控，强调通过提升吞吐量来优化实时事件处理，帮助学员理解开发中的最佳实践和故障排除方法。 通过这门课程，学员将能够构建端到端的实时事件处理解决方案，深入理解Azure Stream Analytics的开发方面。 讲师Anindita Basak在大数据和云计算架构方面拥有超过8年的经验，并撰写了多部关于Azure的书籍。她在制造分析解决方案方面的专长确保了课程内容的权威性和实用性。
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 OverviewThis 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.
