|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-amazon-dynamodb-and-amazon-rds-on-aws/
课程评论：没有评论
课程名称：掌握SQL和NoSQL数据库：AWS DynamoDB和Amazon RDS 课程概述：在本课程中，您将学习AWS（亚马逊网络服务）上的云数据库——Amazon DynamoDB和Amazon RDS。课程将通过动手示例，帮助您掌握多种概念，具体内容包括： 1. **AWS DynamoDB**： - 在DynamoDB中创建表 - 使用表单和JSON添加行和列 - 使用筛选器进行扫描和查询 - 使用PartiQL编辑器运行SQL查询 - 创建备份并导出至S3存储桶 - 删除表和从备份恢复表 - 创建DAX集群并连接VPC - 配置DAX集群的安全性和IAM 2. **Amazon RDS**： - 使用IAM从S3创建或恢复RDS数据库 - 创建带有Aurora及其他引擎类型的RDS数据库 - 监控数据库使用情况和性能指标 - 数据库操作、查询编辑器和监控 ### AWS DynamoDB简介： Amazon DynamoDB是一种NoSQL文档数据库，数据字段以JSON文档存储。您可以执行多种操作，例如扫描、运行SQL查询、添加和删除表记录等。 ### AWS RDS简介： AWS RDS或亚马逊关系数据库服务可以在亚马逊云上创建和管理关系数据库。您可以选择多种数据库引擎类型，包括Amazon Aurora、MySQL、Oracle数据库、微软SQL Server和PostgreSQL。 通过本课程，您将获得在云环境中使用数据库的实用技能和知识，提升您的数据库管理能力。
In this course, you will learn about Cloud databases on AWS (Amazon Web Services)- Amazon DynamoDB and Amazon RDS.Here you will be learning various concepts with hands-on examples in AWS DynamoDB-Creating a table in DynamodbAdd rows and columns using form and Json in DynamodbScan and Query with Filter tableRunning SQL Queries in Dynamodb using PartiQL editorCreate Backup and export to S3 bucketDelete Table and restore table from backupCreate a DAX Cluster and attach VPCConfigure Security and IAM for DAX clusterHere you will be learning various concepts with hands-on examples in Amazon RDS-Create or Restore RDS database from S3 using IAMCreate an RDS database with Aurora and other Engine typesMonitor database utilization and Performance indicatorsDatabase Actions, query editor and monitoringWhat is AWS DynamoDB?Amazon Dynamodb is a NoSQL and document based database where data fields are stored in JSON documents. However, you may perform various kinds of Operations such as Scan, run SQL queries, add and remove records from table and much more.What is AWS RDS?AWS RDS or Amazon Relational Database Service could be used to create and manage relational databases on the Amazon Cloud. You can choose from various database engine types for Amazon Aurora, MySQL, Oracle Database, Microsoft SQL Server, and PostgreSQL.
