Get Started with Lakehouse Architecture on Databricks
In this course, you will explore the Databricks Data Intelligence Platform from the perspective of platform architecture, specifically related to the platform foundation in lakehouse architecture. You will learn about the scope, vision, and capabilities of a lakehouse-based platform, examine how Databricks integrates with major cloud providers, and discover the key features of a successful lakehouse implementation through the well-architected lakehouse framework. The course also covers essential architectural principles, best practices, and data architecture strategies to help accelerate your organization’s data and AI initiatives using Databricks.
The content was developed for participants with these skills/knowledge/abilities:
- A basic understanding of data engineering principles and topics such as data collection, extraction, ingestion, and transformation.
- Prior experience in data platform solutions architecture or similar areas of study.
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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