Planning and Designing Databases on AWS - CLS Learn

Planning and Designing Databases on AWS

Learn how to select and use the ideal AWS database solutions.

Learn how to identify and design the most suitable AWS database solutions so you can modernize your data infrastructure with fully managed, purpose-built databases.

Course Overivew

Learn how to identify and design the most suitable AWS database solutions so you can modernize your data infrastructure with fully managed, purpose-built databases to save time and cost, improve performance and scale, and accelerate innovation.

Intended for solutions architects, database architects, database developers, This Planning and Designing Databases on AWS Course will guide you through the features and characteristics of eleven databases including SQL services like Amazon RDS and Amazon Aurora, and NoSQL services such as Amazon Neptune, Amazon DynamoDB, Amazon DocumentDB, and more, as well as the design considerations that you should make while using them.

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.

This course provides opportunities for you to apply concepts through various activities. It includes instructorled presentations, demonstrations, individual and group activities, knowledge checks, and hands-on labs to apply concepts.

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Course Benefits:

Module 1: AWS Purpose-Built Databases

  • Discussing well-architected databases
  • Analyzing workload requirements
  • Choosing the data model
  • Choosing the right purpose-built database

 

Module 2: Amazon Relational Database Service (Amazon RDS)

  • Discussing a relational database
  • What is Amazon RDS?
  • Why Amazon RDS?
  • Amazon RDS design considerations

 

Module 3: Amazon Aurora

  • What is Amazon Aurora?
  • Why Amazon Aurora?
  • Aurora design considerations

 

Module 4: Amazon DynamoDB

  • Discussing a key value database
  • What is DynamoDB?
  • Why DynamoDB?
  • DynamoDB design considerations

 

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

 

Module 6: Amazon DocumentDB (with MongoDB compatibility)

  • Discussing a document database
  • What is Amazon DocumentDB?
  • Why Amazon DocumentDB?
  • Amazon DocumentDB design considerations

 

Module 7: Amazon Quantum Ledger Database (Amazon QLDB)

  • Discussing a ledger database
  • What is Amazon QLDB?
  • Why Amazon QLDB?
  • Amazon QLDB design considerations

 

Module 8: Amazon Neptune

  • Discussing a graph database
  • What is Amazon Neptune?
  • Why Amazon Neptune?
  • Amazon Neptune design considerations

 

Module 9: Amazon Timestream

  • Discussing a timeseries database
  • What is Amazon Timestream?
  • Why Amazon Timestream?
  • Amazon Timestream design considerations

 

Module 10: Amazon ElastiCache

  • Discussing an in-memory database
  • What is ElastiCache?
  • Why ElastiCache?
  • ElastiCache design considerations

 

Module 11: Amazon MemoryDB for Redis

  • What is Amazon MemoryDB (for Redis)?
  • Why Amazon MemoryDB?
  • Amazon MemoryDB design considerations

 

Module 12: Amazon Redshift

  • Discussing a data warehouse
  • What is Amazon Redshift?
  • Why Amazon Redshift?
  • Amazon Redshift design considerations

 

Module 13: Tools for Working with AWS Databases

  • Data access and analysis with Amazon Athena
  • Data migration with SCT and DMS

 

  • 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.

This course is intended for learners in the following roles:

  • Solutions architects
  • Database architects
  • Developers
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Prerequisites

This course is available at :

Classroom Training

Cairo
Giza
Onsite

Online Training

Virtual Interactive Instructor LED
Self-Paced Training

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