AWS Discovery Day (Modern Data Strategy)

AWS Discovery Day (Modern Data Strategy)

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Online event

AWS Discovery Day (Modern Data Strategy)

About this event

AWS Technical Essentials introduces you to AWS products, services, and common solutions. It provides IT technical end users with basic fundamentals to become more proficient in identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.

This half day seminar held by Calvin Riskowitz will teach you how to:

  • Recognize terminology and concepts as they relate to the AWS platform
  • Navigate the AWS Management Console
  • Understand the security measures AWS provides
  • Differentiate AWS Storage options and create an Amazon Simple Storage Service (S3) bucket
  • Recognize AWS Compute and Networking options and use Amazon Elastic Compute Cloud (EC2) and Amazon Elastic Block Storage (EBS)
  • Describe Managed Services and Database options
  • Use Amazon Relational Database Service (RDS) to launch an application
  • Identify Deployment and Management options

Organizations need a data strategy to succeed, but there’s no one-size fits all approach. Every organization will have unique objectives and obstacles. Join this event to learn how to modernize, unify, and innovate your way to a modern data strategy with AWS.

  • Level: Fundamental
  • Duration: 1.5 hours

Key topics covered

During this event, you will learn:

  • How AWS services help you modernize, unify, and innovate your data infrastructure
  • How to use AWS services to provide secure and well-governed access to data
  • How to innovate with AI/ML by harnessing your data with built-in ML

Intended audience

This event is intended for:

  • Data architects, data scientists, and data analysts new to the AWS Cloud
  • Solutions architects
  • Database administrators

Recommended follow-up training and resources

We recommend that attendees of this event continue learning with these:


  • Big Data on AWS
  • Building Data Analytics Solutions Using Amazon Redshift
  • Building Data Lakes on AWS
  • Data Warehousing on AWS
  • Planning and Designing Databases on AWS


  • AWS Ramp-Up Guide: Data Analytics
  • AWS Ramp-Up Guide: Databases

Event outline

Section 1: Introduction

  • Business value of a modern data strategy
  • Challenges
  • Use cases
  • Traditional vs. cloud
  • Modern data strategy on AWS

Section 2: Modernize

  • Relational databases
  • Purpose-built databases

Section 3: Unify

  • Data lakes with Amazon S3
  • Lake house approach on AWS
  • Purpose-built data services
  • Breaking down data silos
  • Unified governance

Section 4: Innovate

  • Machine learning (ML) services
  • Artificial intelligence (AI) services
  • Data stores, data lakes, and BI tools with built-in ML

Section 5: Next steps

  • Resources to continue learning

Time: 9.00am - 2.00pm

Location: Online

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