Planning and Designing Databases on AWS

Course code: PDDAWS

In this course, you will learn about the process of planning and designing both relational and nonrelational AWS databases. It will teach you how to use workload requirements to define database design considerations and also explore the features and capabilities of the eight AWS database services. By the end of the course, you will be able to determine which AWS database service is right for your workloads, and design the database to meet your requirements.

Amazon Web Services authorized e-book included.

1 650 EUR

1 997 EUR including VAT

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Course dates

Starting date: Individual

Type: Virtual

Course duration: 3 days

Language: en

Price without VAT: 1 650 EUR

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Starting
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Type Course
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Language Price without VAT
Individual Virtual 3 days en 1 650 EUR Register
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Target group

This course is intended for:

  • Data Engineers who are new to designing cloud databases or nonrelational databases
  • Solutions Architects who are designing services or architectures that are integrated with databases
  • Developers that are building cloud database-enabled applications

Course structure

This course is designed to teach you how to:

  • Apply database concepts, database management, and data modeling techniques
  • Evaluate hosting databases on Amazon EC2 instances
  • Evaluate relational AWS database services and their features (Amazon RDS, Amazon Aurora, and Amazon Redshift)
  • Evaluate nonrelational AWS database services and their features (Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB)
  • Examine how the design criteria apply to each service
  • Apply management principles based on the unique features of each service

Prerequisites

We recommend that attendees of this course have:

  • Familiarity with AWS Database Services, equivalent to AWS Database Offerings digital training
  • 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
  • Understanding of the three V’s of data (volume, velocity, and variety)
  • Familiarity with basic data analytics concepts, equivalent to Data Analytics Fundamentals digital training
  • Understanding of general architecting best practices and the AWS Well-Architected Framework, equivalent to Architecting on AWS classroom training

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Daniel Šťastný

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