Building Data Lakes on AWS (BDLA)

 

Course Overview

In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures. This course includes presentations, lecture, hands-on labs, and group exercises.

Who should attend

  • Data platform engineers
  • Solutions architects
  • IT professionals

Prerequisites

We recommend that attendees of this course have:

Course Objectives

In this course, you will learn to:

  • Apply data lake methodologies in planning and designing a data lake
  • Articulate the components and services required for building an AWS data lake
  • Secure a data lake with appropriate permission
  • Ingest, store, and transform data in a data lake
  • Query, analyze, and visualize data within a data lake

Цены & Delivery methods

Classroom training

Длительность 1 день

Online training

Длительность 1 день

Даты и регистрация

В настоящее время расписание на курс отсутствует