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Planning and Designing Databases on AWS

Price
2,025 USD
3 Days
AWS-155
Classroom Training, Online Training
Amazon Web Services

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  • Date: 29-May-2024 to 31-May-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,025 USD
  • Date: 26-Jun-2024 to 28-Jun-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,025 USD
  • Date: 24-Jul-2024 to 26-Jul-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,025 USD
  • Date: 21-Aug-2024 to 23-Aug-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,025 USD
  • Date: 18-Sep-2024 to 20-Sep-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,025 USD
  • Date: 16-Oct-2024 to 18-Oct-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,025 USD
  • Date: 13-Nov-2024 to 15-Nov-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,025 USD
  • Date: 11-Dec-2024 to 13-Dec-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,025 USD
  • Date: 8-Jan-2025 to 10-Jan-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,025 USD
View Global Schedule

Course Description

Overview

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.
  • Duration: 3 days

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.

Audience

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

Topics

  • 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
  • 2023 Top 20 Training Industry Company - IT Training

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