AWS Advanced CLR LRG
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Building Data Lakes on AWS

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...

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$730 USD GSA  $578.09
Duration 1 day
Course Code AWS-DA-DL
Available Formats Classroom, Virtual

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.

Skills Gained

In this course, you will learn how 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

Who Can Benefit

This course is intended for:

  • Data platform engineers
  • Solutions Architects
  • IT professionals

Prerequisites

We recommend that attendees of this course have:

  • Working knowledge of core AWS services and public cloud implementation
  • One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course
  • Attended one of Architecting on AWS, Developing on AWS, or Systems Operations on AWS

Course Details

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
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Schedule

6 options available

  • Jun 2, 2025 - Jun 2, 2025 (1 day)
    Live Virtual | 9:00AM 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM 5:00PM EDT
    Live Virtual | 9:00AM 5:00PM EDT
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  • Aug 5, 2025 - Aug 5, 2025 (1 day)
    Live Virtual | 9:00AM 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM 5:00PM EDT
    Live Virtual | 9:00AM 5:00PM EDT
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  • Sep 18, 2025 - Sep 18, 2025 (1 day)
    Live Virtual | 9:00AM 5:00PM EDT
    Language English
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    Live Virtual |9:00AM 5:00PM EDT
    Live Virtual | 9:00AM 5:00PM EDT
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  • Oct 14, 2025 - Oct 14, 2025 (1 day)
    Live Virtual | 6:00AM 2:00PM PDT
    Language English
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    Live Virtual |6:00AM 2:00PM PDT
    Live Virtual | 6:00AM 2:00PM PDT
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  • Nov 24, 2025 - Nov 24, 2025 (1 day)
    Live Virtual | 9:00AM 5:00PM EST
    Language English
    Select from 1 options below
    Live Virtual |9:00AM 5:00PM EST
    Live Virtual | 9:00AM 5:00PM EST
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  • Dec 8, 2025 - Dec 8, 2025 (1 day)
    Live Virtual | 9:00AM 5:00PM EST
    Language English
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    Live Virtual |9:00AM 5:00PM EST
    Live Virtual | 9:00AM 5:00PM EST
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FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

Reviews

Instructor knew her stuff. Long time in the industry. Course was easy to follow and very informative.

had a good time with the course, however some topics were left out due to the compact amount of time for training.

The training was great . But i expected some of the Networking concepts would be covered in this certification .

Topics, material and specially instructor (Graham Godfrey) was beyond my expectations.

I like their training. A lot of material covered. The labs are very good. l learned a lot.

Prerequisites