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所在平台: Udemy |
课程主页: https://www.udemy.com/course/building-serveless-distributed-analytics-app-with-emr-on-aws/
课程评论：没有评论
课程名称：在AWS上构建无服务器分布式分析应用程序 课程概述：欢迎来到这门实践课程，在这里您将构建自己的数据分析应用程序于AWS云！无论您是AWS的老手还是刚刚开始接触云计算，本课程都适合您。我们将逐步构建一个功能齐全的数据分析应用程序，每节课都会为我们的应用程序增加新的功能和特性，最终实现一个复杂且高级的应用程序！课程中，我们将涵盖以下主题： - 使用EMR Serverless将分析分配到服务器集群 - 使用步骤函数可视化和协调操作流程 - 利用事件驱动处理，借助EventBridge自动化处理流程的调用 - 创建Spark作业以进行数据转换和聚合，并在大数据平台上运行 - 使用Glue服务构建自己的数据目录 - 利用Athena以完全无服务器的方式使用SQL查询分析收集的数据 - 探索CodeWhisperer——这款AI编码助手帮助我们编写自己的PySpark脚本 - 优化应用程序成本，并开始在大数据作业中使用ARM处理器 准备好了吗？让我们开始构建吧！
Welcome in this hands-on course, during which you will build your own data-analysis application on AWS Cloud! This course is dedicated for you independently if you already know AWS or you are just starting with cloud! Together we will build step by step fully operational application for analyzing data! Each lecture will extend our application with new functionalities and features - so that at the end we will have complex and advance application! Let's see exactly what kind of topics we will cover in our hands-on course. Only here you will:learn how to distribute analysis across fleet of servers using EMR Serverless.learn how to visualize and orchestrate the flow of actions using Step Functions.use the concept of event driven processing to automate the invocation of our processing flow thanks to EventBridge.create Spark jobs for data conversion and aggregation and run it on BigData platform.build your own Data Catalog using Glue service.analyze collected data using SQL queries in fully serverless way with help of Athena.discover the power CodeWhisperer - AI coding companion which helped to write our own PySpark scripts.optimize the cost of your application and start using ARM processors for your BigData jobsReady, Stady, Go! Lets build!
