Data Lakes & Lakehouse Demystified: A Practical Guide
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About this course
This course provides a thorough and practical understanding of Data Lakes and Lakehouse architectures, crucial for modern data-driven enterprises. It begins with the evolution from traditional data warehouses, explores different data architectures, and reveals essential components like governance, security, and processing frameworks. You’ll also gain insights into real-world applications and future trends, equipping you to confidently participate in designing and implementing data ecosystems.
What you'll learn
- Understanding the fundamentals of Data Lakes and Lakehouse architectures
- Identifying the differences between traditional and modern data architectures
- Describing components of data lake architecture including storage and processing frameworks
- Applying governance and security models in modern data platforms
- Exploring real-world use cases of Data Lakes and Lakehouse implementation
Course objectives
- To provide a clear understanding of how modern data platforms are structured
- To enable confident participation in data design and implementation in organizations
Skills you'll gain
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