What Will You Learn?
This self-paced digital course explores the various databases that Amazon Web Services (AWS) offers and helps you understand how each of them solve unique business problems. It introduces you to AWS recommended best practices when designing solutions with AWS databases, and common tools for data migration. This course is designed to help you learn the fundamentals of choosing the right database to support your use case.
About This Course
Provider: AWS Training and Certification
Format: Online
Duration: 3 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: By the end of this course, you will be able to describe server-based and serverless architectures, including use cases for each type.
Course Prerequisites: Familiarity with cloud computing concepts
Assessment and Certification: Earn a Certificate upon completion from the relevant Provider
Instructor: AWS Training and Certification
Key Topics: AWS Database, AWS relational and nonrelational database, Data Analysis
Topic Covered:
- - Course overview
- - AWS Well-Architected Framework overview
- - AWS Well-Architected Framework and the six pillars
- - AWS Well-Architected Tool
- - Understanding your data
- - Database services offered by AWS
- - Relational database introduction
- - Amazon Relational Database Service (Amazon RDS)
- - Amazon Aurora
- - Nonrelational database introduction
- - Amazon DynamoDB
- - Amazon Keyspaces (for Apache Cassandra)
- - Amazon DocumentDB
- - Amazon MemoryDB for Redis
- - Amazon Timestream
- - Amazon Quantum Ledger Database (Amazon QLDB)
- - Amazon ElastiCache
- - Amazon Neptune
- - Data access and analysis introduction
- - Amazon Redshift
- - Amazon Athena
- - Choosing the right database activity
- - Database migration
- - Database Architecture
- - Server-based architecture
- - Serverless architecture
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