Fundamentals of a Modern Data Strategy on AWS

Event description

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:

Courses
- Building Data Analytics Solutions Using Amazon Redshift
- Building Batch Analytics Solutions on AWS
- Building Streaming Analytics Solutions on AWS
- Building Data Lakes on AWS
- Data Warehousing on AWS
- Planning and Designing Databases on AWS
Resources

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

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