AWS Certified Database

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Module 1 - Workload-Specific Database Design
  • Selecting the best database service for use cases: Relational: Amazon RDS, Amazon Aurora Non-relational: DynamoDB, DocumentDB, Neptune, ElastiCache, Keyspaces Design patterns for OLTP vs. OLAP workloads Schema design, indexing, partitioning, normalization/denormalization High availability and read/write scaling strategies
Module 2 - Deployment and Migration
  • AWS Database Migration Service (DMS) usage AWS Schema Conversion Tool (SCT) Homogeneous and heterogeneous migrations Blue/green deployments and version control Planning migrations with minimal downtime Cross-region and cross-account database migration
Module 3 - Management and Operations
  • Backups, snapshots, and Point-in-Time Recovery (PITR) Monitoring with CloudWatch, Performance Insights Maintenance tasks: patching, scaling, storage autoscaling Data retention, purge, and archiving policies Lifecycle management and automation using Lambda, EventBridge
Module 4 - Monitoring and Troubleshooting
  • Analyzing logs and performance metrics Using RDS Enhanced Monitoring & Performance Insights Handling replication issues and data drift Troubleshooting common DynamoDB and RDS errors Using CloudTrail, CloudWatch Logs, and Amazon Inspector
Module 5 - Database Security
  • Data encryption at rest & in transit (KMS, SSL, TDE for Oracle/SQL Server) IAM-based access control and roles VPC security: Subnets, NACLs, Security Groups S3 bucket security for exports/imports Auditing and compliance: CloudTrail, Config, GuardDuty
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Course Detail

AWS Certified Database – Specialty – Course Content

This certification validates expertise in database design, migration, deployment, monitoring, and troubleshooting on AWS, covering relational and non-relational databases.

  • Module 1: Workload-Specific Database Design 
    • Selecting the best database service for use cases:
      • Relational: Amazon RDS, Amazon Aurora
      • Non-relational: DynamoDB, DocumentDB, Neptune, ElastiCache, Keyspaces
    • Design patterns for OLTP vs. OLAP workloads
    • Schema design, indexing, partitioning, normalization/denormalization
    • High availability and read/write scaling strategies
  • Module 2: Deployment and Migration 
    • AWS Database Migration Service (DMS) usage
    • AWS Schema Conversion Tool (SCT)
    • Homogeneous and heterogeneous migrations
    • Blue/green deployments and version control
    • Planning migrations with minimal downtime
    • Cross-region and cross-account database migration
  • Module 3: Management and Operations 
    • Backups, snapshots, and Point-in-Time Recovery (PITR)
    • Monitoring with CloudWatch, Performance Insights
    • Maintenance tasks: patching, scaling, storage autoscaling
    • Data retention, purge, and archiving policies
    • Lifecycle management and automation using Lambda, EventBridge
  • Module 4: Monitoring and Troubleshooting 
    • Analyzing logs and performance metrics
    • Using RDS Enhanced Monitoring & Performance Insights
    • Handling replication issues and data drift
    • Troubleshooting common DynamoDB and RDS errors
    • Using CloudTrail, CloudWatch Logs, and Amazon Inspector
  • Module 5: Database Security 
    • Data encryption at rest & in transit (KMS, SSL, TDE for Oracle/SQL Server)
    • IAM-based access control and roles
    • VPC security: Subnets, NACLs, Security Groups
    • S3 bucket security for exports/imports
    • Auditing and compliance: CloudTrail, Config, GuardDuty
  • Key AWS Services to Master
    • Relational Databases: Amazon RDS (MySQL, PostgreSQL, SQL Server, MariaDB, Oracle), Amazon Aurora
    • NoSQL & In-Memory: DynamoDB, ElastiCache (Redis, Memcached), DocumentDB, Neptune (Graph DB)
    • Data Warehousing: Amazon Redshift
    • Migration & Management: AWS DMS, SCT
    • Monitoring & Security: CloudWatch, IAM, KMS
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