Building Data Lakes on AWS - 1 Day ILT
Cloud Wizard Consulting · Intelligence & Research
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
## Why Cloud Wizard Consulting?
Cloud Wizard Consulting is an **AWS Advanced Training Partner** and **Select Tier Consulting Partner** that has trained more than 5,000 professionals across industries. Our authorized instructors hold all AWS certifications and bring real-world consulting experience to every session, ensuring participants learn not just theory but practical implementation patterns they can apply immediately. With a 100% course completion pass rate, our training delivers measurable results.
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## Who This Course Is For
This intermediate-level, 1-day instructor-led course is designed for:
- Data platform engineers building or modernizing data infrastructure
- Solutions architects designing analytics-ready environments
- IT professionals responsible for data governance and security
**Use Case Example:** A financial services team consolidating siloed departmental data into a centralized, governed data lake to enable self-service analytics and reduce time-to-insight from weeks to hours.
## What You Will Achieve
By the end of this course, you will be able to:
- Plan and design a data lake using established methodologies
- Describe the components and services required for building a data lake on AWS
- Secure a data lake on AWS using appropriate permissions and fine-grained access controls
- Ingest, store, and transform structured and unstructured data
- Analyze and visualize data stored in a data lake using Amazon Athena
- Build and automate deployment of a data lake using AWS Lake Formation
- Describe the role of a data lake within a modern data architecture
## Course Modules
**Module 1: Introduction to Data Lakes**
- The value of data lakes vs. data warehouses
- Components of a data lake and common architectures
**Module 2: Data Ingestion, Cataloging, and Preparation**
- Data lake storage and ingestion relationships
- AWS Glue crawlers and data catalog creation
- Data formatting, partitioning, and compression for efficient storage and query
**Module 3: Building a Data Lake with AWS Lake Formation**
- Data processing within a data lake using AWS Glue
- Analyzing data with Amazon Athena
- **Hands-on Lab 1:** Building a Data Lake with AWS Lake Formation
**Module 4: Data Processing and Analysis**
- Features and benefits of AWS Lake Formation
- The Lake Formation security model
- **Hands-on Lab 2:** Build a data lake using AWS Lake Formation
**Module 5: Advanced Lake Formation Configurations**
- Built-in Blueprints for creating and populating Lake Formation
- Fine-grained row/cell access control
- Tag-based access control vs. Named access control
- Access flow enforcement for analytics services
**Module 6: Modern Data Architecture**
- Scalable data lakes, purpose-built analytics services, seamless data movement, unified governance
- Data movement patterns: Inside out, Outside in, Around the perimeter, Sharing across
- Data Mesh architecture using Lake Formation
- **Hands-on Lab 3:** Building and publishing a data product in Lake Formation
**Module 7: Course Wrap-Up**
- Post-course knowledge check and architecture review
## Hands-On Labs
This course includes 3 instructor-guided labs where participants work directly in AWS environments with Amazon S3, AWS Glue, AWS Lake Formation, and Amazon Athena. Labs are isolated per participant and credentials are managed securely throughout the session.
## Prerequisites
- Data Analytics Fundamentals (recommended)
## Engagement Process
Contact Cloud Wizard Consulting to discuss available dates and group enrollment. Our team will conduct a brief discovery call to confirm prerequisites and class size, then provide a proposal with date options and confirmation timeline.
## Pricing
Per-participant pricing is available, with group discounts for teams. Contact us for a custom quote based on your team size and delivery preferences.
Highlights
Highlighted by the publisher on AWS Marketplace.
Delivered by an AWS Advanced Training Partner with 5,000+ professionals trained and a 100% pass rate. Our authorized instructors hold all AWS certifications and bring real-world consulting expertise to every session, helping participants apply data lake patterns to their own projects immediately after training. Includes 3 hands-on labs in isolated AWS environments covering Lake Formation, Glue, and Athena.
Master the complete data lake lifecycle in one day - from ingestion and cataloging through security, governance, and analytics. Participants build working data lakes using AWS Lake Formation, create data catalogs with AWS Glue crawlers, query with Amazon Athena, and implement fine-grained access controls including row/cell-level security and tag-based permissions for enterprise-grade data governance.
Accelerate your organization's analytics readiness with practical skills applicable to real scenarios such as consolidating siloed departmental data for self-service analytics in financial services, healthcare, or retail environments. Participants leave with knowledge of modern data architecture patterns including Data Mesh, data product publishing, and scalable governance frameworks that reduce time-to-insight.
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