Azure MasterClass: Analyze Data With Azure Stream Analytics

所在平台: Udemy

课程主页: https://www.udemy.com/course/azure-masterclass-analyze-data-with-azure-stream-analytics-azure-asa/

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课程简介

课程名称:Azure大师班:使用Azure Stream Analytics分析数据 课程概述:在信息为王的时代,数据在各个组织中扮演着愈发重要的角色。随着互联网和社交媒体的发展,企业在不断寻找可以实时捕捉和分析数据的解决方案,以便做出战略决策。Azure Stream Analytics(ASA)为这一需求提供了有效的解决方案。ASA是一种独立、经济高效的近实时处理工具,能够高效地查看和探索流数据。通过该平台,用户可以轻松设置来自设备、传感器、网站、社交媒体等的实时数据计算。 本课程将教授如何设计、部署、配置和管理Azure云资源中的实时可扩展数据分析。课程从ASA的基础知识和查询设置开始,逐步深入,探讨ASA及其集成服务的各个方面,以充分利用工具的功能。这门课程针对希望构建灵活、稳定且可扩展数据分析系统的人士,适合那些希望掌握需求迫切的云计算和数据分析技能的学员。 如果您认真对待成为一名专家数据工程师,并希望通过技能获得丰厚收入,那么这个课程正是为您而设。想象一下您获得了期待已久的晋升,想象一下招聘方为您争先恐后,这就是您在完成该课程后可能面临的良好问题。 总之,加入我们的《Azure大师班:使用Azure Stream Analytics分析数据》,开始您的数据分析之旅,提升您的职业生涯!

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As the old adage says: information is powerFor some time now, and with the boom of the Internet and social media, data is playing an increasingly bigger role in all organizations, which are continuously looking for solutions that will enable to capture data from different internet sources and analyze it in an as close to real-time rate as possible. This has caused organizations to invest in building solutions that not only can obtain and review data in depth and in real-time, but also save time in scheduling recurrent tasks and integrate with other systems seamlessly, allowing for scalability and availability while minimizing faults and latency. Having the right information in time is a now a critical aspect to making strategic business decisions.This is where Azure Stream Analytics comes in, to provide an effective solution to this business need. Azure Stream Analytics, or ASA, is an independent, cost-effective, and near real-time processing agent that enables you to view and explore streaming data at a high-performance level. Using this portal, you can set up data streaming computations from devices, sensors, web sites, social media, applications, infrastructure systems, and more with just a few clicks. Do you know what it takes to design and deploy sophisticated data analytics pipelines which can transform data into actionable insights and predictions in near real-time? How does one go about scaling this data analysis infrastructure? How to Easily develop and run massively parallel real-time analytics on multiple IoT or non-IoT streams of data using simple SQL like language.? These are some of the fundamental problems data analysts and data scientists struggle with on a daily basis.This course teaches you how to design, deploy, configure and manage your real time scalable data analytics in the Azure cloud resources with Azure Stream Analytics. The course will start with basics of ASA and query setup, and then moves deeper into details about ASA and its other integrated services so you can make the most out of the functionalities you have available in this tool.If you're serious about building scalable, flexible and robust data analytics With no infrastructure to manage, where you can process data on-demand, scale instantly, and only pay per job, then this course is for you. These data analytics and Cloud Computing skills are in high demand, but there's no easy way to acquire this knowledge. Rather than rely on hit and trial method, this course will provide you with all the information you need to get started with your Azure data analytics projects. Startups and technology companies pay big bucks for experience and skills in these technologies. They demand data engineers to provide them real time actionable analysis - and in turn, you can demand top dollar for your abilities. Do you want the skills and be highly sought after? Do you want your career to touch cloud 9? Did you answer, "Absolutely" to that question? If so, then our new training program "Azure Masterclass: Analyze your data with Azure Stream Analytics" is for you. Look, if you're serious about becoming an expert data engineer and generating a significant income for you and your family, it's time to take action. Imagine getting that promotion which you've been promised for the last two presidential terms. Imagine getting chased by recruiters looking for skilled and experienced engineers by companies that are desperately seeking help. We call those good problems to have

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