NHS Data and Analytics Academy

Databricks Lakehouse Fundamentals

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The Databricks Lakehouse Fundamentals course introduces learners to the Lakehouse architecture, which is rapidly becoming the industry standard for data, analytics, and AI. This free on-demand training comprises four concise tutorial videos that cover topics such as the basics of the Lakehouse paradigm, an overview of the Databricks Lakehouse Platform, insights into its architecture and security fundamentals, and an introduction to the supported workloads on the platform. Upon completing the videos and passing the knowledge test, participants earn an accreditation badge.

Skills Covered

- Understanding of Lakehouse architecture
- Familiarity with the Databricks Lakehouse Platform
- Knowledge of platform architecture and security fundamentals
- Awareness of supported workloads on the platform

Matched Skills and Levels from NCF Competencies

  • AEC2 L3 - Data profiling: You can undertake data profiling and source system analysis.

  • AEC2 L2 - Data Innovation: You can show an awareness of opportunities for innovation with new tools and uses of data.

  • AEC3 L2 - Data modelling: You can produce data models and understand where to use different types of data models. You understand industry-recognised data modelling patterns and standards.

  • DEC2 L3 - Tools and techniques: Maintain knowledge of the breadth of techniques available for exploring, manipulating and creating new data sources through linking or matching multiple datasets.

  • DEC4 L2 - Information governance: You understand the Information Governance requirements for the data you handle and can perform administrative tasks to provide accessibility, retrievability, security and protection of data.

Additional information

This free on-demand course offers an introduction to the Databricks Lakehouse architecture through four short tutorial videos, culminating in an accreditation badge upon successful completion.

Resource details

Provider's catalogue badge
Contributed by: NHS Data and Analytics Academy
Authored by: Databricks, Databricks
Licence: More information on licences
First contributed: 03 April 2025
Audience access level: General user

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