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Fundamentals of the Databricks Lakehouse Platform Accreditation

Welcome to the Databricks Lakehouse Fundamentals Accreditation (V2).


This is a 20-minute assessment that will test your knowledge about fundamental concepts related to the Databricks Lakehouse Platform. Questions will assess your knowledge about the platform in general, including your ability to identify how the platform helps organizations accomplish their data workloads. 

Please note that this assessment will not test your ability to perform tasks using Databricks functionality. Instead, it will test how well you can explain the components of the platform and how they fit together.


After successfully completing this assessment, you will be awarded a Databricks Lakehouse Fundamentals badge.


This accreditation is the beginning step to all Databricks Academy role-based learning plans (for data analysts, data engineers, and machine learning practitioners).

 

Skill Level
Introductory
Duration
1h 30m
Prerequisites

Prior to taking this accreditation, we recommend taking the following Databricks Academy courses: 

  • Fundamentals of Databricks Machine Learning

  • Fundamentals of Databricks SQL

  • Fundamentals of Delta Lake

  • Fundamentals of Enterprise Data Management Systems (particularly the section on Lakehouse architecture)

  • Fundamentals of the Databricks Lakehouse Platform

Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

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Registration options

Databricks has a delivery method for wherever you are on your learning journey

Runtime

Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

Register now

Instructors

Instructor-Led

Public and private courses taught by expert instructors across half-day to two-day courses

Register now

Learning

Blended Learning

Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase

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Scale

Skills@Scale

Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details

Upcoming Public Classes

Platform Administrator

Databricks Specialist Sessions

Governance with Unity Catalog (1/1)

Speaker: Michael O’KaneLevel: AdvancedSpecialism: Security/Governance

This webinar takes a close look at Unity Catalog and is hosted by a specialist architect from Databricks. In this session, you will learn how the feature works, best practices for implementation utilized by our largest customers, and common avoidable issues to set up your team for long-term success. Attendees will be able to explain how Unity Catalog is structured conceptually and implement Unity Catalog while adhering to best practices.

Delta Lake – the foundation of the modern data lakehouseDuration: 2 hours

Speaker: Omar Hamdan

Level: Advanced

Specialism: Data engineering

This session will take a deep technical dive into Delta Lake, including architecture, key features, data ingestion, and Delta Lake as an open ecosystem that enables the lakehouse. Participants will gain detailed insights into how Delta Lake has become the foundation of modern lakehouse architecture.

Governance with Unity Catalog 2/2Duration: 1.30 hoursSpeaker: Michael O’KaneLevel: AdvancedSpecialism: Security/Governance

 

This webinar will take a close look at Unity Catalog, it will be the 2nd part of January's session.

In this session, you will learn how the feature works, best practices for implementation utilised by our largest customers, and common avoidable issues to set up your team for long-term success. Attendees will be able to explain how Unity Catalog is structured conceptually and implement Unity Catalog while adhering to best practices.

Geospatial data processing with DatabricksDuration: 2 hoursSpeaker: Erni DurdevicLevel: AdvancedSpecialism: Data engineering

 

Comprising an introduction to geospatial data processing with Databricks, this webinar will span concepts such as geospatial data formats, projections and CRS, grid indexing systems, geospatial libraries and reference data architecture for geo-analytics.

Streaming Best Practice

Duration: 2 hoursSpeaker: Shasidhar Eranti (Presenter)

Level: AdvancedSpecialism: Data engineeringCovering a host of advanced streaming topics, this session focuses on the various components of a streaming job, different types of streams, common pitfalls when developing structured streaming jobs, as well as exploring areas to optimize and how to increase streaming efficiency.

Free
1h 30m
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Questions?

If you have any questions, please refer to our Frequently Asked Questions page.