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Fundamentals of a Modern Data Strategy on AWS

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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: 1.30 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

  1. AWS Ramp-Up Guide: Data Analytics

  2. 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

Registration is mandatory so please submit your details to secure your place at the event.

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East African Time Zone: 10a.m to 11:30 p.m
West African Time ZONE: 12p.m to 1:30 p.m

Time

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Registration is mandatory so please submit your details to secure your place at the event.

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