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AWS
Amazon DynamoDB
Amazon DynamoDB
Curriculum
8 Sections
30 Lessons
10 Weeks
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Introduction to Amazon DynamoDB
2
1.0
Overview of Amazon DynamoDB and its purpose
1.0
Key features: NoSQL database, fully managed, and scalable
DynamoDB Basics
4
2.0
Understanding tables, items, and attributes
2.1
Primary keys: Partition key and composite key
2.1
Data types: Scalar, document, and set types
2.2
Understanding consistent reads vs. eventual consistent reads
Designing DynamoDB Tables
4
3.0
Creating and configuring DynamoDB tables
3.1
Best practices for schema design
3.2
Secondary indexes: Global and local secondary indexes (GSI and LSI)
3.2
Using DynamoDB Streams for real-time data processing
Querying and Scanning Data
4
4.0
How to perform queries and scans in DynamoDB
4.1
Using filters and projections to optimize data retrieval
4.2
Working with pagination and large datasets
4.3
Best practices for efficient querying
Security and Access Control
4
5.0
Securing DynamoDB with IAM roles and policies
5.1
Implementing fine-grained access control with DynamoDB
5.2
Encryption at rest and in transit
5.3
Monitoring and logging with CloudWatch and CloudTrail
Performance Optimization
4
6.0
Understanding DynamoDB performance metrics
6.1
Provisioned vs. on-demand capacity modes
6.1
Optimizing read and write throughput
6.2
Implementing caching with DynamoDB Accelerator (DAX)
Backup, Restore, and Data Management
4
7.0
Enabling point-in-time recovery (PITR)
7.1
Performing on-demand backups and restores
7.1
Best practices for data migration to and from DynamoDB
7.2
Archiving data with DynamoDB TTL (Time to Live)
Integrations and Advanced Features
4
8.0
Integrating DynamoDB with AWS Lambda for serverless applications
8.1
Using DynamoDB with other AWS services like S3, Redshift, and Glue
8.2
Implementing transactions and ACID operations in DynamoDB
8.3
Global tables for multi-region replication
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