Building Data Lakes on AWS Course in Saudi Arabia

Intermediate-level training from AWS

7 specialised modules with real-time projects

Use AWS Lake Formation to build a data lake

Learn with course lectures & hands-on labs

Gain access to high-quality study materials

Expert-guided preparation with mock exams

Hassle-free payment options & flexible training available

4.8/5

4500 Enrolled

Overview

What you will master with us:

Understand the essential elements that make up a data lake
Discover typical architectural patterns for data lake solutions
Handle large-scale data sets with AWS Lake Formation
Create detailed data catalogs via AWS Glue crawlers
Execute data queries on lakes using Amazon Athena
Implement detailed permissions & tag-driven access controls
Organize & structure data efficiently using AWS Glue

Learning Outcomes

After course completion, you'll able to:

Grasp the significance and benefits of developing data lakes

Distinguish between data lakes and traditional data warehouses

Use AWS Glue crawlers to build structured data catalogues

Perform data analysis in data lakes using Amazon Athena

Develop secure & scalable data lakes with AWS Lake Formation

Apply detailed access controls using Lake Formation capabilities

Design and distribute data products through Lake Formation tools

Ready to get started?

Prerequisites

Before enrolling in the Building Data Lakes on AWS in KSA, the eligibility requirements are as follows:

Completed the AWS Technical Essentials classroom course
One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course

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Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Related courses

Curriculum

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

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

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
Lab 01: 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

Explain the available built-in Blueprints to create and populate a new Lake Formation
Describe methods for applying advanced permissions to secure data access and workflow
Describe fine-grained row/cell access control
Explain the Lake Formation Tag-based access control mechanism and the different use cases for Named access control vs. Tag-based access control
Describe access flow that enforces fine-grained access policies to both catalog metadata and underlying data resource for analytics services connecting to Lake Formation

Explain capabilities of a modern data architecture: Scalable data lakes, Purpose-build analytics services, Seamless data movement, unified governance and performance and cost-effectiveness
Articulate the typical data movement within a modern data architecture: Inside out, Outside in, Around the perimeter and Sharing across
Describe focus of building and maintaining data products as a service
Describe a typical Data Mesh architecture using Lake Formation and the key enablers supporting this methodology
Lab 3: Building and publishing a data product in Lake Formation

Post course knowledge check
Architecture review
Course review

Frequently asked questions

The Building Data Lakes on AWS is an intermediate-level course that trains you to build scalable, secure data lakes using AWS services like S3, Glue, Athena, and Lake Formation. You will master data ingestion, cataloging, and processing massive datasets while applying fine-grained access controls and governance. The course includes hands-on exercises and real-world architectures to help you create cost-effective, analytics-ready data platforms.

Before enrolling in the Building Data Lakes on AWS, the eligibility requirements are as follows:

1. Completed the AWS Technical Essentials classroom course
2. One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course

This Data Lakes course in Saudi Arabia is ideal for data engineers, cloud architects, data architects, ML engineers, analysts, BI developers and IT professionals working with scalable data platforms. The skills gained are beneficial across roles involving cloud-native data infrastructure and analytics.

In this course in Riyadh, you’ll work with a range of AWS services that are essential for building, securing, and managing modern data lakes. Here are some of the tools and services mentioned below:

1. Amazon S3
2. AWS Glue
3. Amazon Athena
4. AWS Lake Formation
5. Lake Formation Blueprints
6. Tag-Based Access Control
7. Named Access Control
8. AWS Data Catalog
9. Data Mesh Architecture & Data Products

Yes, this Building Data Lakes on AWS training is provided in locations apart from KSA. Candidates belonging to different GCC countries can enrol in our program. This helps the candidates earn this respected credential. The several GCC regions apart from Saudi Arabia include:

Yes, the Data Lakes course in KSA covers ETL processes extensively. You learn how to design, build and run ETL jobs on AWS to prepare raw data for analysis, using fully managed services like AWS Glue and AWS Lambda. Some of the key ETL topics include:

Extract: Pulling structured and unstructured data from multiple sources into Amazon S3
Transform: Cleaning, enriching and reformatting data using AWS Glue ETL jobs and PySpark
Load: Moving transformed data into curated zones, Amazon Redshift, or data marts for analytics
Automation: Orchestrating ETL workflows with AWS Glue Workflows and AWS Step Functions
Event-driven ETL: Using AWS Lambda to trigger transformations automatically