My Certifications

Lakehouse Architecture with Databricks

Course ID: E-VP9791
Completed 5/5/2025

Figure 1: Certificate of Completion: Get Started With Lakehouse Architecture

Course Topics and Objectives

See the course here: https://www.databricks.com/learn/training/get-started-lakehouse-architecture#data-video
Learning Objectives:

Describe the available compute options for workloads performed on the databricks data intelligence platform

List the products and features databricks offers for different data-centric needs within the databricks platform

Navigate the databricks workspace UI

Develop an agreed upon set of terminology and concepts for discussing Lakehouse Architecture

Define the framework of a modern data and AI platform

Explain the range of functions, capabilities, and use cases for data lakehouses within enterprise businesses.

Describe the rules that make up the guiding philosophy behind a data lakehouse architecture

Use the guiding princples of the lakehouse architecture to verify that your organizations data strategy aligns with the vision of the Databricks Data Intelligence Platform.

Identify the componenets of a lakehouse architecture by reviewing available reference architecture for your given cloud implementation.

Differentiate between the different roles and responsibilities of Databricks Data Intelligence platform features and products and those provided by the cloud service provider in a lakehouse architecture.

Describe the well-architected framework adopted by the three largest cloud service providers.

Explain how Databricks has adapted and built upon the cloud well-architected framework for the well-architected lakehouse framework.

List the seven pillars of the well-architected lakehouse framework.

Research Ethics

Completed 12/1/2025

Figure 2: Certificate of Completion: Ethical Conduct for Research Involving Humans

Additional Courses taken (without Certificate)

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