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AWS DISCOVERY DAY: FUNDAMENTALS OF A MODERN DATA STRATEGY ON AWS

  • Código del Curso GKAWS-MDS
  • Duración 1 Día

Otros Métodos de Impartición

Clase de calendario Precio

Gratuito

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Método de Impartición

Este curso está disponible en los siguientes formatos:

  • Clase de calendario

    Aprendizaje tradicional en el aula

  • Aprendizaje Virtual

    Aprendizaje virtual

Solicitar este curso en un formato de entrega diferente.

Learn how to modernize, unify, and innovate your way to a modern data strategy with AWS.

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

Calendario

Parte superior
    • Método de Impartición: Aprendizaje Virtual
    • Fecha: 20 junio, 2024
    • Sede: Aula Virtual

    Gratuito

    • Método de Impartición: Aprendizaje Virtual
    • Fecha: 26 septiembre, 2024
    • Sede: Aula Virtual

    Gratuito

    • Método de Impartición: Aprendizaje Virtual
    • Fecha: 28 noviembre, 2024
    • Sede: Aula Virtual

    Gratuito

Dirigido a

Parte superior

This event is intended for:

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

Objetivos del Curso

Parte superior

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

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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