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Amazon Web Services / AWS Data Analytics
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Building Data Lakes on AWS (english)

Innovative Strategies for Data Integration and Analysis on AWS
1 day
English
In Kooperation mit
In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data.
Content

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.

Outline

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
  • Lab 1: Set up a simple data lake

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
  • Lab 2: Build a data lake using AWS Lake Formation

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
  • Lab 3: Automate data lake creation using AWS Lake Formation blueprints
  • Lab 4: Data visualization using Amazon QuickSight

Module 6: Architecture and course review

  • Post course knowledge check
  • Architecture review
  • Course review
Benefits
  • Applying data lake methodologies in planning and designing a data lake
  • Articulating the components and services required for building an AWS data lake
  • Securing a data lake with appropriate permission
  • Ingesting, storing, and transforming data in a data lake
  • Querying, analyzing, and visualizing data within a data lake

IMPORTANT: This course prepares you for AWS Data Analytics Certification, among other courses of the Data Analytics job role track.

Instructor
Yuri Nikulin
Matthew Millward
Methods

This course includes presentations, interactive demos, practice labs, discussions, and class exercises.

Who should attend

This course is intended for the following job roles:

  • Data Analytics
  • Machine Learning & AI

We recommend that attendees of this course:

  • have basic knowledge on Data Analytics Fundamentals 
  • and have attended the following course (or have equivalent knowlege): Architecting on AWS with Best Practice 
730
zzgl. MwSt.
868.7
inkl. MwSt.
Buchungsnummer
33821
Ort der Veranstaltung
Online
2 Events
Inhouse Training
Firmeninterne Weiterbildung nur für eure
Mitarbeiter:innen - exklusiv und wirkungsvoll.
Anfragen
In Kooperation mit
Starttermine und Details
23.4.2024
Wenige Plätze frei
Durchführung gesichert
Durchführung fast gesichert
Wenige Plätze frei
Durchführung gesichert
Durchführung fast gesichert
18.6.2024
Plätze frei
Durchführung gesichert
Durchführung fast gesichert
Plätze frei
Durchführung gesichert
Durchführung fast gesichert

The training is carried out in cooperation with an authorized training partner.
For the purpose of implementation, participant data will be transferred to the training partner and the training partner assumes responsibility for the processing of these data.
Please take note of the corresponding privacy policy.

Du hast Fragen zum Training?
Ruf uns an unter +49 761 595 33900 oder schreib uns auf service@haufe-akademie.de oder nutze das Kontaktformular.
730
zzgl. MwSt.
Buchungsnummer
33821
2
Termine