How to Learn Amazon DynamoDB#

Keywords: AWS, Amazon, DynamoDB.

在读完 What is DynamoDB 后, 如果想要深入学习 DynamoDB, 就可以参考这篇文档了解到那列

Where to Find Learning Resource#

DynamoDB 是 NoSQL 数据库中的一种, 也是商业化非常成功的产品之一. 如果你是第一次接触 DynamoDB, 大概率和你之前的经验关系不大. 我建议先精读 DynamoDB 的官方文档中的第一节 What is Amazon DynamoDB, 了解它的设计理念, 独特的 Hash Key, Range Key, GSI Index 的设计, 和传统的关系数据库的区别. 非常不推荐在没有搞懂 DynamoDB 的设计理念之前就进行

我建议直接在你的 AWS Account 里创建一个 DynamoDB Table, 并选择 On-Demand 模式, 然后用 Python boto3 作为 Client 进行学习. 由于是 On-Demand 模式下 DynamoDB 是按使用量收费, 用来学习的所产生的流量不会超过 1 美金, 所以非常划算.

Amazon DynamoDB Knowledge Graph#

  • Core Concepts: Table, Item, Attributes, Index (GSI, LSI)

  • DynamoDB Architecture:

  • Read Consistency: Eventual, Strong, Global table eventual consistency

  • Read / Write Capacity Mode:

  • Partition Key and Sort Key

  • Data Types in DynamoDB

  • Data Modeling

    • One to One

    • One to Many

    • Many to Many

  • DynamoDB development in Python

    • Declare DynamoDB table in CloudFormation or AWS CDK

    • Manage table, index

    • Insert, Update, Get, Scan, Query, Delete items. Single action and batch action.

    • Transaction.

  • DynamoDB Streams: kinesis stream and dynamodb stream

  • DynamoDB Backup

  • DynamoDB Point-in-time-Recovery (PITR)

  • Integrating with Redshift: load data from dynamodb into Redshift

  • Integrating with EMR

  • Integrating with S3: import and export

  • Security

    • Data Protection

    • IAM access Management: table management permission, CRUD permission

    • VPC Endpoint

  • Monitoring

  • Best Practice

    • NoSQL design

    • Deletion protection

    • The DynamoDB Well-Architected Lens

    • Partition key design

    • Sort key design

    • Secondary indexes

    • Large items

    • Time series data

    • Many-to-many relationships

    • Hybrid DynamoDB–RDBMS

    • Relational modeling

    • Querying and scanning

    • Table design

    • Global table design

    • Control plane