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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-analytics-with-aws-athena-and-quicksight/
课程评论：没有评论
课程名称：使用AWS Athena和Quicksight学习分析 课程概述：你是否认为SQL仅限于关系数据库，只能进行CRUD操作？那你就错了。在数据科学的世界里，除了Python和R编程语言外，SQL是使用最广泛的编程语言之一。事实上，Google Bigquery和AWS Athena都使用SQL来分析大数据。大数据可能包含PB（1,024 TB）或EB（1,024 PB）的数据，涉及数十亿到数万亿条记录，覆盖数百万的人。分析如此庞大的数据是一个挑战，使用传统关系数据库系统（RDBS）几乎不可能。大数据可能是结构化、半结构化或非结构化的。 在本课程中，你将学习并实践使用AWS Athena。AWS Athena是一种由AWS提供的交互式数据分析工具，使用标准SQL来分析大数据。Athena之所以在行业中广受欢迎，有以下几个原因：Athena是无服务器的，无需管理基础设施，且你只需为运行的查询付费；Athena使用标准SQL（Presto）分析存储在AWS S3桶中的数据；使用AWS分析工具非常简单；与其他分析工具相比，Athena能快速获取结果；以及能够轻松与BI工具如Tableau集成。 此外，你还将学习AWS Quicksight，这是一款由亚马逊AWS提供的BI工具，使得交付丰富的交互式洞察变得简单。借助机器学习算法，你将能够从数据中挖掘隐藏的洞察并生成图表。 现在就注册，提升你的数据分析技能吧！
Is SQL limited to Relational database, where you can perform CRUD operation with table. Then you're wrong. In the world of data science, after Python and R programing language, SQL is most used programming language. This is true, SQL is used in data science as well.Google Bigquery, AWS Athena uses SQL for analyzing big data. A big data consists might be petabytes (1,024 terabytes) or exabytes (1,024 petabytes) of data consisting of billions to trillions of records of millions of people. To analyze such a huge data is challenging and with RDBS is impossible. A big data may be structured, semi structured or unstructured data.In this learning journey, you'll learn and practice about AWS Athena.What is AWS Athena?AWS Athena, is an interactive data analysis tool offered by AWS. It uses standard SQL to analyze big data. The reason behind its popularity in industries are mentioned in following points:Athena is server-less, there is no infrastructure to manage, and you pay only for the queries that you run.Athena uses standard SQL (Presto) to analyze data stored in an AWS S3 bucket.It is easy to use AWS analytics tool.In comparison to other analytics tools, it fetches results very quickly.Easily integrate with BI tools like TableauAdditionally, you'll also learn about AWS Quicksight, a BI tool offered by Amazon AWS, makes it easy to deliver rich, interactive insights. With the help of ML algorithms you will also able to find hidden insights from the data into charts.Enroll now and upgrade your data analytics skills.
