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Planning and Designing Databases on AWS

WGAC-AWS-PD-DB

Amazon Web Services Training Courses Certification

Schedule

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Open
Amazon Web Services

Planning and Designing Databases on AWS

WGAC-AWS-PD-DB

Basel

Language: German

CET UTC+01:00

Start date:20 Feb 2023 09:00
End date:22 Feb 2023 17:00
Duration:3 days

$ 2,390

Open
Amazon Web Services

Planning and Designing Databases on AWS

WGAC-AWS-PD-DB

Zurich

Language: German

CET UTC+01:00

Start date:20 Feb 2023 09:00
End date:22 Feb 2023 17:00
Duration:3 days

$ 2,390

Open
Amazon Web Services

Planning and Designing Databases on AWS

WGAC-AWS-PD-DB

Bern

Language: German

CET UTC+01:00

Start date:20 Feb 2023 09:00
End date:22 Feb 2023 17:00
Duration:3 days

$ 2,390

Open
Amazon Web Services

Planning and Designing Databases on AWS

WGAC-AWS-PD-DB

Virtual ILT

Language: English

GMT UTC+00:00

Start date:22 Feb 2023 09:00
End date:24 Feb 2023 17:00
Duration:3 days

$ 2,245

Open
Amazon Web Services

Planning and Designing Databases on AWS

WGAC-AWS-PD-DB

Virtual ILT

Language: Polish

CET UTC+01:00

Start date:13 Mar 2023 09:00
End date:15 Mar 2023 17:00
Duration:3 days

$ 4,500

Description

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

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

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.

  • Course Introduction
  • AWS Purpose-Built Databases
  • Amazon Relational Database Service (Amazon RDS)
  • Amazon Aurora
  • Amazon DynamoDB
  • Amazon Keyspaces (for Apache Cassandra)
  • Amazon DocumentDB (with MongoDB compatibility)
  • Amazon Quantum Ledger Database (Amazon QLDB)
  • Amazon Neptune
  • Amazon Timestream
  • Amazon ElastiCache
  • Amazon MemoryDB for Redis
  • Amazon Redshift
  • Tools for Working with AWS Databases

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
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