Learn
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.
Training
Get trained through Databricks Academy. Learn how to master data analytics from the team that started the Apache Spark™ research project at UC Berkeley.
Certification
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.
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.
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.
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.
Documentation
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.
Databricks events and community
Data + AI research
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.
