AWS7377 Building Data Lakes on AWS

Course Code: AWS7377  Duration: 1 Day   Price: £795+VAT
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.

Audience

This course is intended for Data platform engineers, Solutions architects, & IT professionals.

Learning Objectives

By actively participating in this course, you will learn about the following:

  • 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
Pre-Requisites

We recommend that attendees of this course have:

  • One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course

Recommended prerequisites:

Course Contents

Day 1

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

 

Exam Information

There is no exam directly relating to this course.

 

This training course provided by Skilltec is accredited through Global Knowledge Training Ltd. Global Knowledge Training Ltd are the authorised learning partner; all trademarks and partner statuses are provided through them.

Head Office

Skilltec Training

58 New George Street
City Centre
Plymouth
Devon
PL1 1RR

enquiries@skilltec.co.uk
01752 227330

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Registered in England 06131527

Registered address: 58 New George Street, Plymouth, PL1 1RR