Dive in and explore a world of Databricks resources — at your fingertips. You’ll find training and certification, upcoming events, helpful documentation and more.

Getting started with Databricks

Learn the Basics

The Databricks Lakehouse Platform makes it easy to build and execute data pipelines, collaborate on data science and analytics projects and build and deploy machine learning models. Check out our Getting Started guides below.

New to Databricks? Start your journey with Databricks guided by an experienced Customer Success Engineer.

Databricks onboarding



Get trained through Databricks Academy. Learn how to master data analytics from the team that started the Apache Spark™ research project at UC Berkeley.

Databricks Academy


Certification exams assess how well you know the Databricks Lakehouse Platform and the methods required to successfully implement quality projects. They help you gain industry recognition, competitive differentiation, greater productivity and results, and a tangible measure of your educational investment.

Databricks Certification

Get Your Questions Answered

Choose from the following ways to get clarity on questions that might come up as you are getting started:

Online Community

Explore popular topics within the Databricks community.

Connect with the community →

Popular forum topics

Need hands on help?

If you have a support contract or are interested in one, check out our options below. For strategic business guidance (with a Customer Success Engineer or a Professional Services contract), contact your workspace Administrator to reach out to your Databricks Account Executive.

Check out our support options →


Notebook Gallery

This gallery showcases some of the possibilities through Notebooks focused on technologies and use cases which can easily be imported into your own Databricks environment or the free community edition.

Databricks Notebook Gallery →


The Databricks technical documentation site provides how-to guidance and reference information for the Databricks data science and engineering, Databricks machine learning and Databricks SQL persona-based environments.

Data + AI research

Matei Zaharia
Co-Founder and Chief Technologist
Reynold Xin
Co-Founder and Chief Architect
Sue Ann Hong
Software Engineer

Read recent papers from Databricks founders, staff and researchers on distributed systems, AI and data analytics — in collaboration with leading universities such as UC Berkeley and Stanford.

Access research →