AWS Certified Database – Specialty (Planning and Designing Databases on AWS)

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About Course

The AWS Certified Database – Specialty (Planning and Designing Databases on AWS) course is a comprehensive training program designed to equip learners with the skills and knowledge needed to design, deploy, manage, and scale database solutions on the AWS cloud. This course dives deep into various AWS database certifications topics, covering a wide range of AWS database services.From basic database concepts and cloud databases to advanced topics like data warehousing in Amazon Redshift and working with purpose-built databases like Amazon Aurora, DynamoDB, and Amazon DocumentDB, the course provides a structured learning path. It includes practical labs for hands-on experience, ensuring that participants gain practical skills alongside theoretical knowledge.By the end of this AWS database certification training, learners will be well-prepared to take the AWS Certified Database – Specialty exam, demonstrating their expertise in AWS database services, which is valuable for database professionals aiming to validate their skills in the AWS ecosystem.

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What Will You Learn?

  • Understand core database concepts and the advantages of deploying databases on the AWS cloud.
  • Learn database design principles and transactional compliance to ensure data integrity and consistency.
  • Identify workload requirements and design considerations specific to AWS database solutions.
  • Explore hosting databases on Amazon EC2, including configuration and deployment strategies.
  • Examine the characteristics and use cases of purpose-built databases on AWS, such as Amazon RDS, Aurora, DocumentDB, DynamoDB, Neptune, and more.
  • Develop proficiency in working with Amazon RDS, including its features and design best practices, through hands-on lab experiences.
  • Gain insights into Amazon Aurora's unique architecture, performance enhancements, and design considerations for high throughput and availability.
  • Design and interact with NoSQL databases using Amazon DynamoDB, including data modeling and scalability considerations.
  • Evaluate the use of Amazon DocumentDB for MongoDB-compatible document database solutions and its design implications.
  • Understand the application of Amazon Neptune for graph databases and Amazon Quantum Ledger Database (QLDB) for ledger-based applications.
  • Learn about in-memory caching solutions using Amazon ElastiCache and its impact on application performance.
  • Dive into data warehousing with Amazon Redshift, learning about its features, data modeling, and architecture considerations, complemented by practical lab work.
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