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    Planning and Designing Databases on AWS (PD-DB)

    Cloud Computing - AWS
    In this course, you will learn about planning and designing your solutions with purpose-built Amazon Web Services (AWS) Cloud databases. The course introduces you to the features and characteristics of each of these databases and shares the design considerations that you should make while using them. By taking this course, you can develop the analytical skills needed to choose the right AWS database for your unique needs.

    By the end of the course, you will be able to analyze a business use case, analyze the workload, and assess application requirements to identify and design the most suitable AWS database solution to support your organizational needs.

    Planning and Designing Databases on AWS (PD-DB) Objectives

    • In this course you will learn how to do the following:
    • Summarize the AWS Well-Architected Framework for designing database solutions.
    • Choose an appropriate purpose-built database service for a given workload.
    • Design a relational database solution to solve a business problem.
    • Design a NoSQL database solution to solve a business problem.
    • Analyze data from multiple databases to solve a business problem.
    • Discuss the security considerations for your database solution.

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    Key Point of Training Programs

    • Planning and Designing Databases on AWS (PD-DB) Prerequisites

      Who should attend
      This course is intended for learners in the following roles:

      Solutions architects
      Database architects
      Developers
      Prerequisites
      We recommend the following prerequisites for attendees of this course:

      Familiarity with AWS database services
      Understanding of database design concepts and/or data modeling for relational or nonrelational databases
      Familiarity with cloud computing concepts
      Familiarity with general networking and encryption concepts
      Completion of the digital course Introduction to Building with AWS Databases

    • Planning and Designing Databases on AWS (PD-DB) Delivery Format

      In-Person

      Online

    • Planning and Designing Databases on AWS (PD-DB) Outline

      Day 1

      Module 0: Course Introduction
      Course overview
      Module 1: AWS Purpose-Built Databases
      Discussing well-architected databases
      Analyzing workload requirements
      Choosing the data model
      Choosing the right purpose-built database
      Knowledge check
      Module 2: Amazon Relational Database Service (Amazon RDS)
      Discussing a relational database
      What is Amazon RDS?
      Why Amazon RDS?
      Amazon RDS design considerations
      Knowledge check
      Module 3: Amazon Aurora
      What is Amazon Aurora?
      Why Amazon Aurora?
      Aurora design considerations
      Knowledge check
      Challenge Lab 1: Working with Amazon Aurora databases
      Day 2

      Class Activity 1: Choose the Right Relational Database
      Module 4: Amazon DynamoDB
      Discussing a key value database
      What is DynamoDB?
      Why DynamoDB?
      DynamoDB design considerations
      Knowledge check
      Module 5: Amazon Keyspaces (for Apache Cassandra)
      Discussing a wide-column database
      What is Apache Cassandra?
      What is Amazon Keyspaces?
      Why Amazon Keyspaces?
      Amazon Keyspaces design considerations
      Knowledge check
      Module 6: Amazon DocumentDB (with MongoDB compatibility)
      Discussing a document database
      What is Amazon DocumentDB?
      Why Amazon DocumentDB?
      Amazon DocumentDB design considerations
      Knowledge check
      Module 7: Amazon Quantum Ledger Database (Amazon QLDB)
      Discussing a ledger database
      What is Amazon QLDB?
      Why Amazon QLDB?
      Amazon QLDB design considerations
      Knowledge check
      Class Activity 2: Choose the Right Nonrelational Database
      Challenge Lab 2: Working with Amazon DynamoDB Tables
      Day 3

      Module 8: Amazon Neptune
      Discussing a graph database
      What is Amazon Neptune?
      Why Amazon Neptune?
      Amazon Neptune design considerations
      Knowledge check
      Module 9: Amazon Timestream
      Discussing a timeseries database
      What is Amazon Timestream?
      Why Amazon Timestream?
      Amazon Timestream design considerations
      Knowledge check
      Module 10: Amazon ElastiCache
      Discussing an in-memory database
      What is ElastiCache?
      Why ElastiCache?
      ElastiCache design considerations
      Knowledge check
      Module 11: Amazon MemoryDB for Redis
      What is Amazon MemoryDB (for Redis)?
      Why Amazon MemoryDB?
      Amazon MemoryDB design considerations
      Knowledge check
      Class Activity 3: Let’s Cache In
      Module 12: Amazon Redshift
      Discussing a data warehouse
      What is Amazon Redshift?
      Why Amazon Redshift?
      Amazon Redshift design considerations
      Knowledge check
      Module 13: Tools for Working with AWS Databases
      Data access and analysis with Amazon Athena
      Data migration with SCT and DMS
      Class Activity 4: Overall Picture
      Challenge Lab 3: Working with Amazon Redshift clusters