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 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.

Skill Level

Onboarding

Duration

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.

Self-Paced

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

See all our registration options

Registration options

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

Self-Paced

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

Instructor-Led

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

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

Purchase now

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

Databricks Fundamentals

This content is designed to provide the audience with a fundamental introduction to Databricks and the Databricks Data Intelligence Platform. Throughout this course, you will be introduced to the different features and products offered as part of the platform and why these features and products are valuable to all businesses seeking to harness the power of their data and AI assets to accelerate their business.

These videos are provided in a suggested order, but you are welcome to watch them in any order you prefer. Additionally, we recommend you watch all the video content available prior to attempting the accreditation assessment for Databricks Fundamentals.

Languages Available: English | 日本語 | Português BR | 한국어

Free

Introductory

Data Analyst

Databricks AI/BI for Self-Service Analytics

In this course, you will learn how to self-serve business insights from your company’s Databricks Data Intelligence Platform using AI/BI. After a tour of the fundamental components of the platform, you’ll learn how to interact with pre-created AI/BI Dashboards to explore your company’s data through existing charts and visualizations. You’ll also learn how to use AI/BI Genie to go beyond dashboards by asking follow-up questions in natural language to self-serve new insights, create visualizations, and share them with your colleagues.

Free

Onboarding

Databricks AI Security Fundamentals

In this course, you will explore the fundamentals of security in AI systems within the Databricks Data Intelligence Platform. The course covers five comprehensive modules and delves into the significance of securing AI systems and navigating compliance with evolving legal and regulatory standards. You will examine recent security incidents, identify various AI model types, and assess security risks across AI system components. Additionally, you will learn to leverage Databricks features for enhanced AI security, illustrating best practices for risk mitigation. By the end of the course, you will possess the knowledge and skills necessary to implement secure AI solutions and apply effective security measures in real-world scenarios.

Free

Introductory