Amazon DynamoDB

Amazon DynamoDB is a fully managed NoSQL database service provided by AWS that delivers fast, consistent performance at any scale. It's designed to run high-performance applications requiring single-digit millisecond latency, even with massive data volumes. Key features of DynamoDB include: 1. Serverless architecture - No servers to provision, patch, or manage 2. Automatic scaling - Adapts to application traffic increases and decreases 3. Built-in security - Fine-grained access control with AWS IAM 4. Backup and restore - Point-in-time recovery and on-demand backups 5. Global tables - Multi-region, multi-active database for global applications DynamoDB stores data in tables containing items (rows) with attributes (columns). Unlike traditional relational databases, it doesn't require a fixed schema, allowing each item to have different attributes. Every table requires a primary key that uniquely identifies each item. For data modeling, DynamoDB supports: - Simple primary keys (partition key only) - Composite primary keys (partition key + sort key) - Secondary indexes for flexible querying DynamoDB offers two capacity modes: 1. Provisioned - You specify read/write capacity units 2. On-demand - Pay-per-request pricing for unpredictable workloads Advanced features include: - Transactions for all-or-nothing operations - DynamoDB Streams for capturing data modifications - DynamoDB Accelerator (DAX) for microsecond response times - Time to Live (TTL) for automatic item expiration Common use cases include mobile apps, gaming, IoT, ad tech, and any application needing low-latency data access at scale. DynamoDB integrates seamlessly with other AWS services like Lambda for serverless architectures and Kinesis for real-time data processing.

Amazon DynamoDB is a fully managed NoSQL database service provided by AWS that delivers fast, consistent performance at any scale. It's designed to run high-performance applications requiring single-…

Concepts covered: Partitioning and Data Distribution, Streams and Triggers, DynamoDB Accelerator (DAX), Transactions, Monitoring and Metrics, Global and Local Secondary Indexes, Read Consistency, Provisioned and On-Demand Capacity, Backup and Restore, Conditional Expressions