|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/big-data-analysis-on-aws-and-microsoft-azure/
课程评论：没有评论
课程名称：AWS和Microsoft Azure上的大数据分析 课程概述：在本课程中，您将学习有关AWS和Microsoft Azure上可以用于简单数据分析和大数据分析的各种云服务。您可以选择组合云资源和方法，将它们集成在一起以构建解决方案和各种用例。本课程从Amazon Glue的课程开始，Amazon Glue是开发人员广泛使用的工具，可以构建跨越各种数据源的爬虫，从中提取有用数据并将这些信息存储在Amazon Athena中作为数据集。随后，我们可以对Athena进行各种操作并运行SQL查询，就像其他数据库一样，从数据集中获取有用的洞见。此外，您还可以使用SQL对数据集进行转换。 您将学习的内容： - 云数据分析概述：了解云平台在当今数据驱动世界中的重要性，以及AWS和Microsoft Azure在该领域的突出优势。 - 探索AWS服务： - Amazon Glue：发现开发人员如何利用Amazon Glue创建爬虫，浏览各种数据源并提取有价值的数据，这些数据集随后存储在Amazon Athena中。 - Amazon Athena：深入了解Athena的功能，能够执行SQL查询和操作，类似于传统数据库，从数据集中提取有意义的洞见。学习使用SQL进行数据转化的技巧。 - Amazon S3：获得创建S3存储桶、添加数据集以及了解其与其他AWS服务集成的实践经验。 - AWS Glue高级特性：深入配置爬虫的输出数据库名称、自定义架构、了解Glue中的表细节以及探索云中的日志组。 - 实践SQL与Athena：在Athena上运行SQL查询，将输出保存到S3存储桶，并掌握在AWS Athena中创建和保存自定义查询的技巧。 - 了解Microsoft Azure数据分析服务： - Azure HDInsight：通过对HDInsight（微软的大数据分析服务）的实践课程开始您的Azure之旅。 - Azure Stream Analytics：进入实时数据处理的领域，理解Azure的Stream Analytics在当今快节奏数字世界中的重要性。 为什么选择本课程？无论您是初学者数据分析师、经验丰富的数据科学家，还是对云基础数据分析感到好奇的人，本课程都提供了一个系统化的学习路径，让您掌握AWS和Microsoft Azure上的工具和服务。通过本课程的学习，您将具备做出明智决策的知识和技能，了解如何选择合适的云资源组合与方法，并如何无缝集成它们以构建强大的数据解决方案，满足各种使用案例的需求。
In this course you will learn about various cloud services on AWS and Microsoft Azure that can be used for simple Data Analytics and Big Data Analytics. You can choose a combination of cloud resources and methods that can be integrated together to build a solution and various use cases. This course begins with lessons on Amazon Glue that is widely used by developers to build a crawler that can span through a variety of data sources and fetch some useful data from them and store those information in Amazon Athena as datasets. Later on, we can perform various types of operations and run SQL queries on Athena just any other database for finding useful insights from dataset. Moreover, you can also prepare a dataset by transforming it using SQL.What You'll Learn:Introduction to Cloud-Based Data Analytics: Understand the significance of cloud platforms in today's data-driven world and how AWS and Microsoft Azure stand out in this domain.Exploring AWS Services:Amazon Glue: Discover how developers leverage Amazon Glue to craft crawlers that can navigate through diverse data sources, extracting valuable data. These datasets are then stored in Amazon Athena.Amazon Athena: Dive into the functionalities of Athena, which allows you to execute SQL queries and operations, akin to traditional databases, to derive meaningful insights from your datasets. Learn the art of data transformation using SQL.Amazon S3: Get hands-on experience in creating an S3 bucket, adding datasets, and understanding its integration with other AWS services.AWS Glue Advanced Features: Delve deeper into configuring output database names for crawlers, customizing schemas, understanding table details in Glue, and exploring log groups in the cloud.Practical SQL with Athena: Run SQL queries on Athena, save the output in an S3 bucket, and master the creation and saving of custom queries in AWS Athena.Unraveling Microsoft Azure's Data Analysis Services:Azure HDInsight: Begin your Azure journey with practical lessons on HDInsight, Microsoft's service for big data analytics.Azure Stream Analytics: Transition into the realm of real-time data processing with Azure's Stream Analytics, understanding its significance in today's fast-paced digital world.Why This Course?Whether you're a budding data analyst, a seasoned data scientist, or someone curious about cloud-based data analytics, this course offers a structured pathway to mastering the tools and services on AWS and Microsoft Azure. By the end of this course, you'll be equipped with the knowledge and skills to make informed decisions about the right combination of cloud resources and methods, and how to integrate them seamlessly to build robust data solutions for various use cases.
