Building Data Lakes on AWS in Germany
Intermediate-level training from AWS
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 available
Flexible training available
4.25/56536 EnrolledEnrolled Learners
4.25/56536 EnrolledEnrolled Learners
Overview
What our training includes:
- Understand the key components that constitute a modern data lake
- Explore standard architecture designs for implementing data lakes on AWS
- Use AWS Glue to efficiently ingest, clean, and organize data
- Build rich metadata catalogs using AWS Glue crawlers
- Manage and analyze large-scale data with AWS Lake Formation
- Query your data lake using SQL through Amazon Athena
- Implement granular access controls and tag-based permission policies
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
We take immense pride in our skilled instructors and trainers who excel in their chosen fields. Our trainers are globally recognised for their expertise and experience.Learners Point adopts a data driven research approach to learning so the experience is highly customizable and thoroughly engaging for learners from all walks of life. The sessions are classroom-based and led by an instructor. For those who seek more flexibility, we also offer high quality live and interactive sessions online.
Learning Outcomes
After finishing the course, you will be able to:
1
Explore the benefits of data lakes for contemporary data management
2
Compare data lakes to traditional data warehousing solutions
3
Use AWS Glue crawlers to create searchable data catalogs
4
Analyze data directly in the lake with Amazon Athena
5
Create scalable and secure data lakes using AWS Lake Formation
6
Implement precise access controls with Lake Formation
7
Design and deliver data products using the tools provided by Lake Formation
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 Dubai, 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
Overall ratings by our students
Related courses
Frequently asked questions
Our course in Building Data Lakes on AWS in Germany offers learners the skills to design and implement modern data lakes using essential AWS technologies. The training covers data ingestion, metadata cataloging, security, and governance. You’ll gain hands-on experience with tools like AWS Lake Formation, Amazon S3, AWS Glue, and AWS Redshift, helping you build cost-effective, secure, and scalable data lake environments.
This program is ideal for professionals handling large datasets in the cloud. It suits data engineers, cloud architects, business analysts, and IT specialists who want to develop or manage data lakes on AWS. If you aim to advance your cloud data skills and boost your analytics capabilities, this course is tailored for you.
The course dives into the key areas of building and managing data lakes. We begin with the fundamentals of data lake architecture and how it differs from traditional data systems. Participants explore data ingestion, cataloging with AWS Glue, building secure lakes with Lake Formation, and analyzing data using Amazon EMR and Redshift. You also learn to design cloud-native, scalable data architectures.
By completing this AWS Data Lakes course in Germany, you gain valuable experience in managing cloud-based big data systems. Graduates are prepared to build, secure, and optimize data lakes. These skills are in high demand for roles such as Cloud Architect, Data Engineer, and Big Data Analyst. These capabilities are especially valuable in industries like healthcare, logistics, finance, and technology.
Yes, once you successfully finish the course, you'll be awarded a certificate of completion. This validates your knowledge of AWS data lake architecture and tools. It adds significant value to your professional qualifications and enhances your credibility when applying for AWS-related roles in Germany or internationally.
Do you want to learn more about Learners Point Academy?
- Learn more about courses
- Understand about our methodology
- Let’s talk about Corporate trainings
- Anything else that you want to know, we are here for you!
