Learn Amazon RDS,Dynamo DB,Aurora, Redshift, Redis, Memcache

Understand how AWS managed services take care of database provisioning, patching, and maintenance. Explore how scaling, pay for usage, and integration with other AWS services improve efficiency.

Explore AWS database services and products, including managed relational databases, NoSQL options, data warehousing, in-memory caching, and the database migration service, guided by real use cases.

Understand how relational databases store data as fields, records, and tables, and relate them via primary and foreign keys for efficient retrieval.

Learn how Amazon RDS offers a managed relational database in the AWS cloud, with automated patching, scaling, backups, and restore, and high availability across regions and availability zones.

Explore Amazon RDS scaling, harnessing auto scaling for vast storage and scalable compute, with multi-availability-zone replication that maintains six data copies for high reliability across zones.

Read replicas provide real-time copies of the master database to offload read traffic and boost performance. Aurora supports up to 15 replicas (MySQL up to five), with auto-scaling.

Explore how RDS multi-AZ and read replicas differ, with read replicas boosting read performance and multi-AZ enabling high availability and fault tolerance across availability zones.

Demonstrates provisioning an Amazon Aurora relational database in the cloud, selecting regional deployment, replication options, backups, encryption, VPC settings, and endpoints for connectivity.

discover the motivation behind dynamo db and why amazon built a scalable database to handle millions of queries with millisecond latency for mobile and cloud growth.

DynamoDB is a fast, fully managed NoSQL key-value store that delivers single-digit millisecond latency for mobile apps, gaming, and social networks, with SSD storage and high availability across availability zones.

Discover how Amazon uses DynamoDB in its workflow engine to deliver fast order processing; Expedia uses it for analytics-ready, on-demand reference data and recommendations.

Data warehousing aggregates data from internal and external sources to answer business questions and inform decisions. It supports data storage, reporting, and business intelligence for analyzing margins, channels, and promotions.

Amazon Redshift architecture: a cluster of compute nodes coordinated by a leader node that plans and assigns queries. Compute nodes execute queries; the leader aggregates results for clients.

Philips HealthCare uses Amazon Redshift to move 37 million records from on-premises to the cloud, enabling faster diagnostics and preventive care decisions within two hours.

ElastiCache provides a caching layer to speed up responses by serving repetitive, read-heavy queries from fast cache, reducing load on databases during high-traffic workloads.

Celebrate completing the Amazon databases course module by watching demos and case studies; share feedback on Udemy and consider a five-star rating to help others.