Building Data Lakes on AWS Training in Saudi Arabia

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 1 Day
  • Level: Intermediate
  • Price: Please contact for booking options
  • Upcoming Date:
  • UK & Türkiye Based Global Training Provider

The Building Data Lakes on AWS Training in Saudi Arabia 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. Contact Us!

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 Saudi Arabia, 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 Saudi Arabia through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • 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 long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Saudi Arabia and worldwide, with flexible planning options for individual and corporate training needs.

Experience Building Data Lakes on AWS in a focused classroom environment in Saudi Arabia. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Building Data Lakes on AWS in Saudi Arabia solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.


Contact us for more detail about our trainings and for all other enquiries!

Building Data Lakes on AWS Training Course in Saudi Arabia Schedule

Join our public courses in our Saudi Arabia 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.
26 Muharram 1448 (1 Day)
Riyadh, Jeddah, Dammam, Neom
01 Safar 1448 (1 Day)
Riyadh, Jeddah, Dammam, Neom
20 Safar 1448 (1 Day)
Riyadh, Jeddah, Dammam, Neom
21 Safar 1448 (1 Day)
Riyadh, Jeddah, Dammam, Neom
22 Safar 1448 (1 Day)
Riyadh, Jeddah, Dammam, Neom
10 Rabiʻ I 1448 (1 Day)
Riyadh, Jeddah, Dammam, Neom
12 Rabiʻ I 1448 (1 Day)
Riyadh, Jeddah, Dammam, Neom
20 Rabiʻ I 1448 (1 Day)
Riyadh, Jeddah, Dammam, Neom

Saudi Arabia is currently undergoing one of the most significant digital transformations in modern history under the umbrella of Vision 2030. Riyadh, Jeddah, and the revolutionary smart-city project NEOM are at the forefront of this technological leap, focusing on non-oil economic growth through digital innovation. The Kingdom is investing billions into cloud infrastructure, AI research, and cybersecurity to protect its national interests and support a burgeoning private tech sector. Our educational frameworks in Saudi Arabia are aligned with this national transformation, providing the workforce with essential skills to manage mega-scale digital projects. We empower Saudi professionals to take the lead in building a tech-driven future that honors the Kingdom's heritage while embracing the possibilities of the Fourth Industrial Revolution.

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