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Amazon DynamoDB - The Definitive Guide

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Packt

Amazon DynamoDB - The Definitive Guide

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2 周 完成
在 10 小时 一周
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您将学到什么

  • Implement DynamoDB’s key-value model and relational migrations effectively.

  • Optimize DynamoDB tables with secondary indexes and partitioning strategies.

  • Configure DynamoDB Accelerator (DAX) for high-performance caching.

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April 2026

作业

16 项作业

授课语言:英语(English)
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该课程共有16个模块

In this section, we cover DynamoDB's market role, real-world use cases, and workload evaluation criteria.

涵盖的内容

2个视频4篇阅读材料1个作业

In this section, we cover DynamoDB interactions via AWS Console, SDKs, and local environments.

涵盖的内容

1个视频5篇阅读材料1个作业

In this section, we explore NoSQL Workbench for DynamoDB, focusing on data modeling, efficient access patterns, and practical tools for database management and optimization.

涵盖的内容

1个视频4篇阅读材料1个作业

In this section, we explore key-value data modeling in DynamoDB, focusing on efficient data retrieval, supported data types, and design practices for scalable NoSQL applications.

涵盖的内容

1个视频5篇阅读材料1个作业

In this section, we explore transitioning from relational thinking to NoSQL data modeling, focusing on access patterns and denormalization.

涵盖的内容

1个视频6篇阅读材料1个作业

In this section, we cover DynamoDB read consistency, APIs, and transactions for reliable data access.

涵盖的内容

1个视频6篇阅读材料1个作业

In this section, we explore vertical partitioning in DynamoDB, focusing on data grouping, item collections, and optimizing performance while managing system constraints.

涵盖的内容

1个视频3篇阅读材料1个作业

In this section, we explore implementing local and global secondary indexes in DynamoDB to support alternate access patterns, focusing on consistency, performance, and efficient data retrieval.

涵盖的内容

1个视频9篇阅读材料1个作业

In this section, we explore DynamoDB capacity modes and table classes, focusing on provisioned and on-demand modes, cost optimization, and performance management for efficient resource use.

涵盖的内容

1个视频8篇阅读材料1个作业

In this section, we examine DynamoDB's core components like Request Routers, Storage Nodes, and Metadata, explaining their roles in secure, scalable data handling and efficient request processing.

涵盖的内容

1个视频6篇阅读材料1个作业

In this section, we explore DynamoDB backup, restore, and S3 data export functionalities, focusing on on-demand backups, PITR, and data movement strategies for resilient application design.

涵盖的内容

1个视频7篇阅读材料1个作业

In this section, we explore DynamoDB Streams and Kinesis Data Streams for event-driven processing, and DynamoDB TTL for automated data lifecycle management, emphasizing practical applications and cost efficiency.

涵盖的内容

1个视频6篇阅读材料1个作业

In this section, we explore DynamoDB global tables for multi-region data replication, conflict resolution, and managing distributed databases to ensure fault tolerance and business continuity.

涵盖的内容

1个视频6篇阅读材料1个作业

In this section, we cover caching strategies for DynamoDB, focusing on DAX to reduce read latency and improve performance.

涵盖的内容

1个视频5篇阅读材料1个作业

In this section, we explore OLAP patterns for DynamoDB analytics, emphasizing data integration, bulk processing, and real-world applications like business insights and machine learning.

涵盖的内容

1个视频8篇阅读材料1个作业

In this section, we explore identifying database migration triggers, implementing DynamoDB strategies, and evaluating scalability and cost for optimized application growth.

涵盖的内容

1个视频8篇阅读材料1个作业

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