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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cloud-basics-for-data-professionals/
课程评论：没有评论
课程名称：云基础知识 for 数据专业人士 课程概述： 本课程是对云计算世界的高层次介绍。近年来，云生态系统迅速增长，现在存储了全球一半以上的企业数据。然而，大多数与云服务互动的人对其背后发生的事情并不知情。在本课程中，我们将定义云计算的含义以及企业为何依赖它，比较传统的本地计算与云计算，并探索不同类型的数据专业人员如何与云技术互动。 我们将深入云架构的核心组件，比较不同类型的云服务和基础设施，并回顾安全性、虚拟化、成本控制等重要主题。随后，我们将探讨现代云环境，比较AWS、微软Azure和Google Cloud等主要服务提供商提供的服务，介绍公有云和私有云提供商、数据平台及软件产品，并讨论如何降低供应商锁定的风险。 最后，我们将通过独特的演示和现实案例展示数据专业人士如何开始利用这些服务，包括基于AWS、Azure、GCP和Snowflake构建的工作流。 课程大纲： 1. 云基础知识 - 介绍云计算的基本概念，包括其定义、企业使用的原因以及不同数据角色如何与之互动。 2. 云架构 - 理解云计算和云基础设施的核心组件，以及云服务和架构的类型。 3. 云市场 - 回顾数据分析领域中云计算行业的一些主要参与者，比较它们的相似性和差异性。 4. 云数据堆栈 - 演示使用云产品和服务组合（或"堆栈"）构建简单数据分析管道，包括AWS、MySQL Workbench、GCP、Looker、Azure、Snowflake等。 准备好开始了吗？今天就加入我们，立即获得以下内容的终身访问权： - 2小时高质量视频 - 4个真实案例的云演示 - 3个课程测验 - 《云基础知识 for 数据专业人士》电子书（超过50页） - 专家支持和问答论坛 - 30天满意保证 无论您是对云计算感兴趣的分析师或数据科学家，还是希望了解云市场的商业领袖，这门课程都适合您。祝学习愉快！ —— Chris Bruehl（数据科学专家 & Maven Analytics首席Python讲师）
This course is a high-level introduction to the world of cloud computing.The cloud ecosystem has grown exponentially in recent years, now storing more than half of the world's corporate data. Yet most people who interact with cloud services are unaware of what's going on behind the scenes.In this course, we'll set the stage by defining what cloud computing means and why companies rely on it, draw comparisons against traditional on-premise computing, and explore how different types of data professionals interact with cloud technology.From there we'll dig into the core components of cloud architecture, compare different types of cloud services and infrastructure, and review important topics like security, virtualization, cost control, and more.Next, we'll explore the modern cloud landscape, and compare services offered by key players like AWS, Microsoft Azure, and Google Cloud. We'll introduce public and private cloud providers, data platforms and software products, and discuss how to mitigate the risk of vendor lock-in.Last but not least, we'll walk through unique demos and real-world use cases to showcase how you can begin to leverage these services as a data professional, including workflows built on AWS, Azure, GCP and Snowflake.COURSE OUTLINE:Cloud 101Introduce the basics of cloud computing, including what it is, why companies use it, and the way different data roles interact with itCloud ArchitectureUnderstand the core components of cloud computing and cloud infrastructure, as well as the types of cloud services and architectureThe Cloud LandscapeReview some of the major players in the cloud computing industry for data analytics, and compare their similarities and differencesCloud Data StacksDemo simple data analytics pipelines using combinations of cloud products and services (or "stacks"), including AWS, MySQL Workbench, GCP, Looker, Azure, Snowflake, and more__________Ready to dive in? Join today and get immediate, LIFETIME access to the following:2 hours of high-quality video4 real-world cloud demos & case studies3 course quizzesCloud Basics for Data Professionals ebook (50+ pages)Expert support and Q & A forum30-day Udemy satisfaction guaranteeWhether you're an analyst or data scientist interested in cloud computing or a business leader looking to learn about the cloud landscape, this course is for you.Happy learning!-Chris Bruehl (Data Science Expert & Lead Python Instructor, Maven Analytics)__________Looking for our full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, Tableau and Machine Learning courses!See why our courses are among the TOP-RATED on Udemy:"Some of the BEST courses I've ever taken. I've studied several programming languages, Excel, VBA and web dev, and Maven is among the very best I've seen!" Russ C."This is my fourth course from Maven Analytics and my fourth 5-star review, so I'm running out of things to say. I wish Maven was in my life earlier!" Tatsiana M."Maven Analytics should become the new standard for all courses taught on Udemy!" Jonah M.
