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Episode 20: DynamoDB Deep Dive - Keys, Capacity, DAX, Streams & Global Tables | SAA-C03

13 de julho de 2026 · 27 min

Notas do episódio

Master DynamoDB! Partition keys, capacity modes, DAX, Streams, Global Tables + the DynamoDB vs RDS decision. Punchy 26-min format!


🆕 INTERACTIVE FORMAT

🎯 PULSE CHECKS - Real pauses to test yourself

⚠️ TRAP SPOTLIGHTS - Exam traps highlighted live

💡 MEMORY HOOKS - Vivid analogies that stick


🗄️ DYNAMODB FUNDAMENTALS

• Fully managed NoSQL - no servers, no patching

• Multi-AZ by DEFAULT (built-in HA!)

• Millions of requests/sec, single-digit ms latency

• 400 KB max item size (larger → S3 + reference)

• Flexible schema, ACID transactions supported


🔑 PRIMARY KEYS (Most tested!)

SIMPLE KEY: Partition key only (hash key)

COMPOSITE KEY: Partition key + Sort key (range key)


CRITICAL: High-cardinality partition keys prevent HOT PARTITIONS. Use user IDs, order IDs, device IDs - NOT status fields with few values.


Classic pattern: Sensor_ID (partition) + Timestamp (sort) for IoT.


Hook: Partition key = file cabinet drawer. Sort key = order within drawer.


⚡ CAPACITY MODES

PROVISIONED (default):

• Specify RCUs/WCUs, plan beforehand

• Cheaper, auto-scaling available

• Use for: predictable, steady traffic


ON-DEMAND:

• Auto-scales, no planning

• Pay per request (~2.5x cost)

• Use for: unpredictable, sudden spikes


READ CONSISTENCY:

• Eventually consistent (default, cheaper)

• Strongly consistent (2x RCU cost!)


Hook: Provisioned = gym membership. On-Demand = pay-per-visit.


🚀 DAX (DynamoDB Accelerator)

• In-memory cache for DynamoDB

• MICROSECOND latency (1000x faster!)

• ZERO code changes (API-compatible)

• Solves read congestion


DAX vs ElastiCache:

• DAX = DynamoDB reads, no code changes

• ElastiCache = aggregations, general caching


Hook: DAX = turbocharger bolted on DynamoDB.


📊 DYNAMODB STREAMS

• Ordered change log (create/update/delete)

• 24-HOUR retention

• Triggers Lambda in real-time

• Use: welcome emails, analytics, replication


Need more? Kinesis Data Streams = 1-year retention.


Pattern: Streams + Lambda = serverless event processing


Hook: Streams = security camera. Lambda = the guard watching.


🌍 GLOBAL TABLES

• Multi-region ACTIVE-ACTIVE replication

• Read AND write in ANY region

• Sub-second replication

• REQUIRES DynamoDB Streams enabled!


⏰ TTL (Time To Live)

• Auto-delete items after expiry timestamp

• FREE (no write capacity consumed)

• Use: session data, compliance cleanup


💾 BACKUPS

• PITR: continuous, 35 days, restore to any second

• On-Demand: long-term retention via AWS Backup

• Restores ALWAYS create NEW tables

• Export to S3 for Athena (needs PITR)


🎯 DYNAMODB vs RDS


USE DYNAMODB when:

• Massive scale, consistent performance

• Simple, known access patterns

• Flexible/evolving schema

• Serverless architectures

• Single-digit ms latency


USE RDS/AURORA when:

• Complex queries, joins

• Highly relational data

• Ad-hoc analytics

• Existing SQL applications


The serverless trio: API Gateway + Lambda + DynamoDB


Hook: DynamoDB = vending machine. RDS = restaurant kitchen.


⚠️ TOP EXAM TRAPS

1. Hot partitions = low-cardinality keys (fix key, not capacity)

2. 400 KB item limit (larger → S3)

3. Unpredictable = On-Demand

4. DAX (DynamoDB reads) vs ElastiCache (aggregations)

5. Global Tables REQUIRE Streams

6. Streams = 24hr, Kinesis = 1 year

7. PITR = 35 days max, restores create NEW tables

8. Strongly consistent reads = 2x RCU

9. TTL deletions are FREE

10. API Gateway + Lambda + DynamoDB = serverless trio


🎧 Perfect for SAA-C03 prep! DynamoDB has its own exam category.


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📚 FREE SAA-C03 cheat sheet 👉 https://payhip.com/b/Zv5hd

🎯 104 practice questions with full explanations - 20% off with code PASS 👉 https://payhip.com/b/CLvcu

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#AWS #DynamoDB #NoSQL #DAX #Serverless #SAAC03 #SolutionsArchitect


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