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Building Data Lakes on AWS

4.6 out of 5 rating

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Duration

1 Days

6 CPD hours

About this course

This course is intended for:
Data platform engineers
Solutions architects
IT professionals

Overview

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

Description

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.

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
Additional course details:

Nexus Humans Building Data Lakes on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the Building Data Lakes on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

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