Course
Introduction to Databricks
BasicSkill Level
Updated 02/2026DatabricksData Engineering3 hr10 videos30 Exercises2,100 XP36,628Statement of Accomplishment
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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.Feels like what you want to learn?
Start Course for FreeWhat 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 course1
Introduction to Databricks
Discover how the Databricks Lakehouse platform modernizes data architecture using the new Lakehouse paradigm. Explore the foundational components of Databricks and their integration. Engage with the Databricks UI, platform architecture, and workspace administration. At the same time, practical exercises guide you through SQL queries, platform features, and external system connections, introducing you to the efficient data management and seamless integration Databricks can offer.
2
Data Intelligence Platform Fundamentals
Learn the key components of the Databricks Data Intelligence Platform and how it can enhance your analytical processes. Explore Databricks fundamentals for data management and compute capabilities. You will also cover data catalog management and data ingestion. Get your hands dirty with interactive exercises that will guide you through integrating datasets, setting permissions, and configuring clusters.
3
Introduction to SQL in Databricks
Use the Databricks Data Intelligence Platform as your data warehousing solution for your Business Intelligence (BI) use cases. Use the built-in SQL-optimized capabilities within Databricks to create queries and dashboards on your data.
Introduction to Databricks
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FAQs
What is Databricks?
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.
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