Lilly Tech Systems
Data Lake Architecture for AI
Build data lakes and lakehouses optimized for AI workloads with Delta Lake, data catalogs, and governance.
Course Lessons
Follow these lessons in order for a complete understanding of data lake architecture for ai.
1. Data Lake Overview
Learn about data lake overview in the context of data lake architecture for ai.
2. Lakehouse Architecture
Learn about lakehouse architecture in the context of data lake architecture for ai.
3. Delta Lake for ML
Learn about delta lake for ml in the context of data lake architecture for ai.
4. Data Catalog Design
Learn about data catalog design in the context of data lake architecture for ai.
5. Data Quality Architecture
Learn about data quality architecture in the context of data lake architecture for ai.
6. Governance Layer
Learn about governance layer in the context of data lake architecture for ai.
7. Data Architecture Patterns
Learn about data architecture patterns in the context of data lake architecture for ai.
What You'll Learn
By the end of this course, you will be able to:
Understand Core Concepts
Gain deep understanding of the principles and patterns that define data lake architecture for ai.
Apply in Practice
Implement real-world solutions using the architectural patterns and code examples from each lesson.
Make Architecture Decisions
Evaluate trade-offs and choose the right approaches for your specific requirements and constraints.
Build Production Systems
Design and implement production-ready AI systems that are reliable, scalable, and maintainable.