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
4.8/54500 EnrolledEnrolled Learners
4.8/54500 EnrolledEnrolled Learners
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
Upcoming sessions
Curriculum
1
Describe the value of data lakes
2
Compare data lakes and data warehouses
3
Describe the components of a data lake
4
Recognize common architectures built on data lakes
1
Describe the relationship between data lake storage and data ingestion
2
Describe AWS Glue crawlers and how they are used to create a data catalog
3
Identify data formatting, partitioning and compression for efficient storage and query
1
Recognize how data processing applies to a data lake
2
Use AWS Glue to process data within a data lake
3
Describe how to use Amazon Athena to analyze data in a data lake
4
Lab 01: Building a Data Lake with AWS Lake Formation
1
Describe the features and benefits of AWS Lake Formation
2
Use AWS Lake Formation to create a data lake
3
Understand the AWS Lake Formation security model
4
Lab 2: Build a data lake using AWS Lake Formation
1
Explain the available built-in Blueprints to create and populate a new Lake Formation
2
Describe methods for applying advanced permissions to secure data access and workflow
3
Describe fine-grained row/cell access control
4
Explain the Lake Formation Tag-based access control mechanism and the different use cases for Named access control vs. Tag-based access control
5
Describe access flow that enforces fine-grained access policies to both catalog metadata and underlying data resource for analytics services connecting to Lake Formation
1
Explain capabilities of a modern data architecture: Scalable data lakes, Purpose-build analytics services, Seamless data movement, unified governance and performance and cost-effectiveness
2
Articulate the typical data movement within a modern data architecture: Inside out, Outside in, Around the perimeter and Sharing across
3
Describe focus of building and maintaining data products as a service
4
Describe a typical Data Mesh architecture using Lake Formation and the key enablers supporting this methodology
5
Lab 3: Building and publishing a data product in Lake Formation
1
Post course knowledge check
2
Architecture review
3
Course review
Meet your Trainer
Our Trainers
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.
Learning Outcomes
After course completion, you'll able to:
1
Grasp the significance and benefits of developing data lakes
2
Distinguish between data lakes and traditional data warehouses
3
Use AWS Glue crawlers to build structured data catalogues
4
Perform data analysis in data lakes using Amazon Athena
5
Develop secure & scalable data lakes with AWS Lake Formation
6
Apply detailed access controls using Lake Formation capabilities
7
Design and distribute data products through Lake Formation tools
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
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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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
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