Amazon DynamoDB: Advanced Developer’s Guide

سرفصل های دوره

Mastering DynamoDB Data Modeling, Performance Optimization, and Security Best Practices

1. Introduction

1. Introduction

2. What you should know

2. Key Concepts and Pricing

1. NoSQL versus relational DBs

2. DynamoDB versus MongoDB

3. Data modeling in DynamoDB

4. Composite keys and sort keys

5. Pricing and capacity planning in DynamoDB

6. Demo- DynamoDB costs in the AWS Pricing Calculator

7. Creating secondary indexes in DynamoDB- GSI and LSI

3. DynamoDB Fundamentals

1. Creating a DynamoDB table in the AWS admin console

2. Data Types in DynamoDB

3. Items and Attributes

4. Accessing DynamoDB

1. Using the AWS Management Console

2. Installing the AWS CLI

3. SDK Options

4. DynamoDB Local

5. Introduction to NoSQL Workbench

5. Working with Items

1. Scanning

2. Querying

3. Put, Update and Delete Item

4. Batch Operations

6. Monitoring and Metrics

1. Console Metrics and Cloud Watch

2. Alerts and Alarms

3. Errors and Codes

7. Table Performance

1. Provisioned vs On-Demand Capacity Modes

2. Auto Scaling

3. Create set of Tables in DynamoDB.html

8. Table Indexes

1. Index - Recap

2. Creating Indexes using AWS Management Console

3. Creating Indexes using NoSQL Worekbench

4. Sparse Indexes

5. Importing Tables using AWS Database Migration Services

9. Backup and Recovery

1. On-Demand vs. Continuous (PITR) Backup

10. Advanced Performance and Scaling Considerations

1. Offloading Large Attribute Values to S3

2. Scaling, Adaptive Capacity and Hot and Cold Partition Imbalance

11. Data Consistency and Management

1. Conditional and Update Expressions

2. Transactions

3. Time to Live (TTL)

12. Data Resilience , Security and Encryption

1. Global Tables

2. Encryption

3. DynamoDB VPC endpoints

4. Optimize the table structure.html

13. Streams and Triggers

1. Streams

2. Triggers - Exploring Streams Use Cases

14. Node.js and DynamoDB

1. Creating tables in DynamoDB using Node.js

2. Inserting data into DynamoDB using Node.js

3. Querying data using Node.js

4. Understanding Streams

15. ASP.Net Core with DynamoDB

1. Performing CRUD operations using ASP.Net Core with DynamoDB

16. Python with DynamoDB

1. Create Tables using Python - Boto3

2. Import Data to a table using JSON file

3. CRUD Operations

17. Implementing High-Performance Architectures

1. Static Data Dumps (Streams to Static Files)

2. DynamoDB Accelerator (DAX) Architecture

3. SQS Write Buffer

18. Advanced Security

1. Federated and Fine-Grained Access

2. Auditing Admin Access Using CloudTrail

3. Optimize the table structure - version 3.html

19. Conclusion

1.1 ExcerciseFilesDynamoDB.zip

1. Conclusion and Code Download.html

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