Building Data Lakes on AWS Training in United States of America

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 1 Day
  • Level: Intermediate
  • Price: From USD 1,350 +TAX
  • Upcoming Date:
  • UK Based Global Training Provider

The Building Data Lakes on AWS Training in United States of America course teaches participants how to design, build, secure, and manage modern data lake architectures using Amazon Web Services (AWS). Through a combination of theory and hands-on exercises, learners will explore how to ingest, catalog, transform, analyse, and visualise both structured and unstructured data within a scalable cloud-based environment.

Participants will gain practical experience with key AWS analytics services, including AWS Lake Formation, AWS Glue, Amazon Athena, and Amazon QuickSight, while learning industry best practices for data governance, security, and operational efficiency.

Designed for data professionals and solution architects, this course provides the knowledge and skills required to implement secure, scalable, and analytics-ready data lake solutions on AWS. The course is part of the Building Modern Data Analytics Solutions on AWS training collection.


We can organize this training at your preferred date and location.
HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Prerequisites

Participants should have:

  • Completed AWS Technical Essentials
  • One year of experience building data analytics pipelines
  • Knowledge equivalent to Data Analytics Fundamentals

Who Should Attend

This course is intended for:

  • Data Platform Engineers
  • Data Engineers
  • Solutions Architects
  • Cloud Architects
  • IT Professionals
  • Technical teams building analytics and data lake platforms

What You Will Learn

By the end of this Building Data Lakes on AWS Training in United States of America, you will have gained knowledge and skills in the following areas:

  • Apply data lake methodologies to data lake planning and design.
  • Describe the AWS services required to build a data lake.
  • Secure a data lake with appropriate permissions.
  • Ingest, store, and transform data within a data lake.
  • Build a data catalog using AWS Glue.
  • Query and analyse data using Amazon Athena.
  • Visualise data using Amazon QuickSight.
  • Apply security and access control best practices in data lake architectures.

Training Outline

Module 1: Introduction to Data Lakes

  • Value of Data Lakes
  • Data Lakes vs Data Warehouses
  • Data Lake Components
  • Common Data Lake Architectures

Module 2: Data Ingestion, Cataloging, and Preparation

  • Relationship Between Data Lake Storage and Data Ingestion
  • AWS Glue Crawlers
  • AWS Glue Data Catalog
  • Data Formatting
  • Partitioning and Compression
  • Efficient Storage and Query Design

Lab 1: Set Up a Simple Data Lake

  • Basic Data Lake Configuration
  • Data Ingestion and Cataloging

Module 3: Data Processing and Analytics

  • Data Processing in a Data Lake
  • Data Transformation with AWS Glue
  • Querying Data with Amazon Athena
  • Analytics Use Cases

Module 4: Building a Data Lake with AWS Lake Formation

  • AWS Lake Formation Features
  • Creating Data Lakes with Lake Formation
  • Lake Formation Security Model
  • Permissions and Access Management

Lab 2: Build a Data Lake Using AWS Lake Formation

  • Lake Formation Configuration
  • Security and Access Controls

Module 5: Additional Lake Formation Configurations

  • Blueprints and Workflows
  • Lake Formation Automation
  • Security and Access Controls
  • AWS Lake Formation FindMatches
  • Data Visualisation with Amazon QuickSight

Lab 3: Automate Data Lake Creation Using AWS Lake Formation Blueprints

  • Blueprint-Based Automation
  • Workflow Configuration

Lab 4: Data Visualisation Using Amazon QuickSight

  • Dashboard Creation
  • Analytics Reporting

Module 6: Architecture and Course Review

  • Knowledge Check
  • Architecture Review
  • Course Summary
  • AWS Data Lake Best Practices

Why Choose Us

Experience Building Data Lakes on AWS in United States of America through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from United States of America or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Building Data Lakes on AWS through face-to-face Classroom Based training in United States of America. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Building Data Lakes on AWS in United States of America as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in United States of America or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.
Contact us for more detail about our trainings and for all other enquiries!

Building Data Lakes on AWS Training Course in United States of America Schedule

Join our public courses in our United States of America facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
16 October 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
USD 1,350 +TAX
21 October 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
USD 1,350 +TAX
23 October 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
USD 1,350 +TAX
12 November 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
USD 1,350 +TAX
14 November 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
USD 1,350 +TAX
21 November 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
USD 1,350 +TAX
26 November 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
USD 1,350 +TAX
01 February 2027 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
USD 1,350 +TAX

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