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:

  • Completed the AWS Technical Essentials (AWSE)classroom course
  • One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course

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
Online Training

Duration 1 day

Classroom Training

Duration 1 day

 

Schedule

English
Time zone Eastern European Time (EET)
Online Training Time zone: Central European Summer Time (CEST)
1 hour difference
Online Training Time zone: Central European Time (CET)
2 hours difference
Online Training Time zone: Gulf Standard Time (GST)
Online Training Time zone: Greenwich Mean Time (GMT)
7 hours difference
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)
8 hours difference
Online Training Time zone: Central Standard Time (CST)
Online Training Time zone: Central Standard Time (CST)
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.