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ALL TRAININGS

Training: AWS – Building Data Lakes on Amazon Web Services

Ref. AWS-19

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Duration:
1
 day
Exam:
Optional
Level:
Intermediate
Funding:
Temptraining

Description

In this 1-day 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.

Participant profiles

  • Data platform engineers
  • Solutions architects
  • IT professionals

Objectives

  • 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

Prerequisites

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

Course content

Module 1: Introduction to data lakes

  • Describe the value of data lakes
  • Compare data lakes and data warehouses
  • Describe the components of a data lake
  • Recognize common architectures built on data lakes

Module 2: Data ingestion, cataloging, and preparation

  • Describe the relationship between data lake storage and data ingestion
  • Describe AWS Glue crawlers and how they are used to create a data catalog
  • Identify data formatting, partitioning, and compression for efficient storage and query

Module 3: Data processing and analytics

  • Recognize how data processing applies to a data lake
  • Use AWS Glue to process data within a data lake
  • Describe how to use Amazon Athena to analyze data in a data lake

Module 4: Building a data lake with AWS Lake Formation

  • Describe the features and benefits of AWS Lake Formation
  • Use AWS Lake Formation to create a data lake
  • Understand the AWS Lake Formation security model

Module 5: Additional Lake Formation configurations

  • Automate AWS Lake Formation using blueprints and workflows
  • Apply security and access controls to AWS Lake Formation
  • Match records with AWS Lake Formation FindMatches
  • Visualize data with Amazon QuickSight

Module 6: Architecture and course review

  • Post course knowledge check
  • Architecture review
  • Course review

Documentation

  • Digital courseware included

Lab / Exercises

  • Official AWS Labs

Complementary courses

Temptraining funding

ITTA is a partner of Temptraining, the continuing education fund for temporary workers. This training fund can subsidize continuing education for anyone who works for an employer subject to the Collective Work Agreement (CCT) Rental of services.
Prix de l'inscription
CHF 900.-
Inclus dans ce cours
  • Official AWS Training Program
  • Training provided by a certified trainer
  • Documentation in digital format
  • Achievement Badge

lun19Aoû09:00lun17:00VirtuelVirtual Etiquettes de sessionAWS-19

  • ITTA
    Route des jeunes 33 Bis, Entrée B,
    1227 Carouge, Suisse

Horaires d’ouverture

Du lundi au vendredi, de 8:30 à 18:00.

Contactez-nous

  • ITTA
    Route des jeunes 33 Bis, Entrée B,
    1227 Carouge, Suisse

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Opening hours

Monday to Friday, from 8:30 am to 06:00 pm.

Contact us

  • ITTA
    Route des jeunes 33B,
    1227 Carouge, Suisse

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