Master AWS Databases. Watch hands-on labs for RDS, DynamoDB, Aurora, and Neptune.
β±οΈ Length: 3.3 total hours
β 4.50/5 rating
π₯ 2,399 students
π November 2025 update
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- Course Overview
- Explore the comprehensive landscape of Amazon Web Services (AWS) database solutions through a series of intensive, high-quality laboratory demonstrations designed for immediate application in professional environments.
- Gain deep insights into the operational mechanics of Amazon Relational Database Service (RDS), including the intricate setup, configuration, and scaling strategies for popular engines like MySQL, PostgreSQL, and SQL Server.
- Dive into the high-performance world of NoSQL with Amazon DynamoDB, learning how to effectively manage tables, handle primary keys, and optimize read/write capacities for modern, high-scale web applications.
- Witness the unique power of Amazon Aurora, exploring its high-availability architecture and how it maintains full compatibility with traditional relational database engines while offering significantly superior speed and reliability.
- Understand the specific utility of graph databases via Amazon Neptune, focusing on how to represent and navigate highly connected datasets in a cloud-native environment designed for social networking and fraud detection.
- Bridge the gap between theoretical cloud storage concepts and real-world implementation by watching live configurations that mirror production-grade infrastructure requirements and enterprise-level standards.
- Focus on the practical nuances of database management, such as instance selection, storage auto-scaling, and the selection of appropriate database paradigms for specific business logic requirements.
- Requirements / Prerequisites
- A fundamental understanding of cloud computing principles and a general familiarity with the navigation of the AWS Management Console to follow along with the instructor effectively.
- Access to an AWS Free Tier account is highly recommended so that you can replicate the lab demonstrations in your own sandbox environment and gain muscle memory.
- Basic knowledge of database terminology, such as tables, queries, indexes, and primary keys, which will help in grasping more complex cloud-specific configuration features.
- Stable internet connectivity capable of streaming high-definition video content and accessing the AWS web-based dashboard without significant latency or interruption during the lab exercises.
- No advanced programming skills or deep coding knowledge are required, though a basic understanding of Structured Query Language (SQL) can be beneficial for the RDS and Aurora sections.
- Skills Covered / Tools Used
- Mastering the AWS Management Console interface specifically for the deployment, monitoring, maintenance, and eventual deletion of various managed database instances.
- Configuring Multi-AZ deployments and Read Replicas to ensure high availability and robust disaster recovery for mission-critical enterprise applications across different geographical regions.
- Utilizing Amazon CloudWatch for real-time monitoring of database metrics, including CPU utilization, storage consumption, and throughput efficiency to maintain peak performance.
- Implementing VPC Security Groups and Network Access Control Lists (NACLs) to secure database traffic and restrict unauthorized access to sensitive data stores within a virtual cloud.
- Executing Data Migration Service (DMS) concepts to understand how legacy on-premises databases are transitioned into the modern AWS ecosystem with minimal downtime or data loss.
- Exploring IAM Role integration to manage fine-grained permissions and secure cross-service communication between databases and other AWS resources like Lambda functions or EC2 instances.
- Working with Amazon DynamoDB Accelerator (DAX) to implement in-memory caching for ultra-fast response times in high-scale environments where microsecond latency is a requirement.
- Configuring Automated Backups and manual snapshots to maintain data integrity and facilitate precise point-in-time recovery scenarios during development or production incidents.
- Leveraging Performance Insights to visualize database load and filter by waits, SQL statements, hosts, or users to identify and resolve bottlenecks in the system.
- Benefits / Outcomes
- Develop the technical confidence to architect scalable database solutions that meet the specific performance, durability, and cost-efficiency requirements of diverse business use cases.
- Equip yourself with the practical knowledge necessary to excel in AWS Certification exams, specifically focusing on the database domains within the Solutions Architect and SysOps tracks.
- Learn to significantly reduce operational overhead by leveraging managed services that automate routine administrative tasks like software patching and complex backup management.
- Build a robust portfolio of demonstrable cloud skills that distinguish you in the competitive job market, specifically for roles such as Cloud Engineer, DevOps Engineer, or Database Administrator.
- Understand how to balance cost-optimization with high performance by choosing the right database engine and instance type for specific workload characteristics and traffic patterns.
- Achieve a high level of architectural agility, allowing you to quickly pivot between relational and non-relational database paradigms based on evolving project needs and data structures.
- Gain the ability to troubleshoot database connectivity issues and performance degradation using native AWS diagnostic tools and industry-standard best practices.
- PROS
- The course provides concise, lab-heavy content that minimizes unnecessary theoretical fluff and focuses entirely on the practical “how-to” aspects of cloud database administration.
- Completely up-to-date information as of the November 2025 update, ensuring that the interface, features, and buttons shown match the current version of the AWS console.
- Highly rated 4.50/5 stars by a growing community of over 2,000 students, reflecting the high quality and pedagogical effectiveness of the visual demonstrations.
- A compact duration of 3.3 hours makes it an ideal choice for busy IT professionals who need to learn specific skills quickly without committing to a week-long course.
- CONS
- This course assumes a baseline level of IT knowledge, which might require absolute beginners to pause the videos and research certain networking or security concepts externally to fully understand the context.
Learning Tracks: English,IT & Software,Other IT & Software
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