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Skill Level: Onboarding

Prerequisites: 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.

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 platform founded in lakehouse architecture, with a focus on how Databricks integrates with a cloud platform’s architecture. You’ll learn about the key features of a successful lakehouse implementation, specifically how to adhere to the well-architected lakehouse framework, which emphasizes structural excellence through specific dimensions, principles and best practices. You’ll also learn about data architecture strategy for the acceleration of data and AI endeavors.