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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-aws-databases-learn-amazon-rds-dynamo-db/
课程评论：没有评论
课程名称：学习亚马逊RDS、Dynamo DB、Aurora、Redshift、Redis、Memcache 课程概述：本课程是关于AWS数据库的入门教程，重点讲解亚马逊的关系数据库管理服务（AWS RDS），并包含实践操作。首先，我们将了解AWS RDS的产生背景。课程涵盖了包括Amazon Aurora、Dynamo DB、Amazon Redshift、Redis和Memcache在内的亚马逊数据库的全面介绍。随着应用程序数量激增，每个想法被转化为应用程序，成功的项目需具备独特的创意。随着云计算不断降低存储和计算成本，新一代应用程序应运而生，其数据库需求也随之增加。这类应用需要数据库能够存储从TB到PB的新类型数据，以毫秒级的延迟访问数据、处理每秒数百万个请求，并能够扩展以支持全球数百万用户。为了满足这些要求，组织需要同时使用适合特定应用需求的RDS和非RDS数据库。AWS提供了最全面的数据库服务，专为各种应用场景而设计，包括：用于重交易应用的关系数据库、适用于互联网规模应用的NoSQL数据库、用于数据分析的数据仓库Redshift、用于缓存和实时工作负载的内存数据存储、以及用于构建高度关联数据应用的图数据库。在本教程中，您将学习到多样化的数据库知识，并结合真实案例研究进行实践。 适合人群：数据库管理员、软件工程师、IT工程师、云工程师、软件架构师、云操作员。 课程大纲：无。
In this Introduction to AWS Databases Tutorial we shall be discussing in detail about Amazon's Relational Database Management service (AWS RDS) and shall also do a hands-on, but first let us understand why it came into existence.You will learn about complete Introduction to Amazon databases which includes Amazon Aurora, Dynamo DB, Amazon Redshift,Redis, Memcache.The world is changing, with every idea being converted into an application, millions of new applications go online every day. Now for any application or project to be successful, it should have a unique idea behind it.As the cloud continues to drive down the cost of storage and compute, a new generation of applications have emerged, creating a new set of requirements for databases. Such applications need databases to store terabytes to petabytes of new types of data, provide access to the data with millisecond latency, process millions of requests per second, and scale to support millions of users anywhere in the world. Now to handle these kind of requirements, organizations need both RDS And Non RDS databases that are purpose-built to handle the specific needs of applications. AWS offers the broadest range of databases purpose-built for your specific application use case.AWS fully managed database services include relational databases for heavy transactions applications, NOSQL databases for internet-scale applications, Redshift used a data warehouse for analytics, an in-memory data store for caching and real-time workloads, a graph database for building applications with highly connected data. In this tutorial you will all learn all these variety of databases along with Real Life CASE STUDIESWho this course is for:Database administratorsSoftware engineersIT EngineersCloud engineersSoftware architectsCloud Operators
