Databricks is a unified data analytics platform that simplifies and accelerates big data and AI projects. Built on Apache Spark, it integrates data engineering, data science, and machine learning tools into one environment.

What is Databricks used for?

Databricks is used for data engineering, data science, data analytics, data governance, and collaboration. It helps ingest, transform, analyze data, build and deploy machine learning models, and manage data access and lineage.

How can Databricks benefit my organization?

Databricks can benefit your organization by providing scalable computing resources, enhancing team collaboration, ensuring secure data management, and integrating seamlessly with various cloud services and third-party tools.

Are there any hands-on components or practical projects included in this course?

Yes, the course includes practical exercises and projects. These are designed to provide hands-on experience with Databricks, enabling you to apply what you've learned in real-world scenarios.

Introduction to Databricks Course

Name: Introduction to Databricks
Rating: 4.76876756322762 (2491 reviews)

Introduction to Databricks

BasicSkill Level

4.7+

2,491 reviews

Updated 02/2026

Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.

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Course Description

Welcome to Databricks

In this course, you will be introduced to the Databricks Lakehouse Platform and be shown how it modernizes data architecture using the new Lakehouse paradigm. You'll understand the foundational components of Databricks, including the UI, platform architecture, and workspace administration. Interactive exercises will guide you through SQL queries, platform features, and external system connections for efficient data management and seamless integration.

Master the Data Intelligence Platform

Delve into the Databricks Data Intelligence Platform and learn its key components to enhance your analytical processes. You'll cover Databricks fundamentals for data management and compute capabilities, including data catalog management and data ingestion. Hands-on exercises will help you integrate datasets, set permissions, and configure clusters, ensuring you can effectively manage your data.

Use Databricks for Business Intelligence

Learn how the Databricks Data Intelligence Platform can serve as a data warehousing solution for Business Intelligence (BI) use cases. You'll understand how to leverage the platform's SQL-optimized capabilities to create queries and analyze data. Finally, you will explore what features support data management and query development, allowing you to use SQL in Databricks to start analyzing your data.

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What you'll learn

Identify the core components of the Databricks Data Intelligence Platform and their roles in analytics and data management.
Recognize how the Control Plane and Compute Plane function and support Databricks architecture.
Differentiate key workspace features—such as Catalog Explorer, SQL Editor, and Notebooks—for common data tasks.
Assess which cluster types and configurations best fit different workloads and user needs.
Evaluate how Databricks connects with external systems, datasets, and partner tools to support enterprise workflows.

Prerequisites

There are no prerequisites for this course