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Get Started with Lakebase

This course introduces Databricks Lakebase, a fully managed PostgreSQL service built into the Databricks Data Intelligence Platform that brings operational (OLTP) and analytical (OLAP) workloads closer together.


The course begins with a conceptual lecture that compares OLTP and OLAP systems, explaining their different performance characteristics, storage models, and typical use cases. You will also explore the challenges organizations face when maintaining separate transactional databases and analytical platforms, including data movement, latency, and architectural complexity.


You will then learn how Databricks Lakebase helps address these challenges by providing a PostgreSQL-compatible operational database that integrates directly with the Databricks Lakehouse, enabling operational applications and analytics to work together within a unified platform.


This is a Get Started course, so the focus is on understanding the core concepts and basic workflows for working with Lakebase. Building full production applications on top of Lakebase is outside the scope of this course.


You can create a Databricks Free Edition account and try the follow-along demos in a hands-on environment.


Note: Databricks Academy is transitioning to a notebook-based format for classroom sessions within the Databricks environment, discontinuing the use of slide decks for lectures.

Skill Level
Onboarding
Duration
3h
Prerequisites

In this course, the content was developed for participants with these skills/knowledge/abilities:  

• Access to a Databricks workspace with the Lakebase Database feature enabled

• An available All-purpose-compute OR Serverless cluster and a SQL Warehouse (2X-Small is sufficient).

• Create permissions for catalogs in your workspace.

• Intermediate SQL skills - Able to write and understand SELECT, INSERT, UPDATE, and DELETE statements.

• Intermediate Python knowledge - Comfortable with Python functions, exceptions, and working with dictionaries/lists.

• Familiarity with OLTP fundamentals - Understands client-server relationships, ACID properties, database authentication, and concurrent access.

Upcoming Public Classes

Date
Time
Your Local Time
Language
Price
Jun 24
12 PM - 02 PM (Asia/Singapore)
-
English
Free
Jun 26
03 PM - 05 PM (Europe/London)
-
English
Free
Jul 10
09 AM - 11 AM (America/Los_Angeles)
-
English
Free
Jul 10
09 AM - 11 AM (America/Los_Angeles)
-
English
Free
Jul 23
03 PM - 05 PM (Europe/London)
-
English
Free
Jul 30
12 PM - 02 PM (Asia/Singapore)
-
English
Free
Aug 06
12 PM - 02 PM (Asia/Singapore)
-
English
Free
Aug 12
03 PM - 05 PM (Europe/London)
-
English
Free
Aug 27
09 AM - 11 AM (America/Los_Angeles)
-
English
Free
Sep 01
12 PM - 02 PM (Asia/Singapore)
-
English
Free
Sep 08
09 AM - 11 AM (America/Los_Angeles)
-
English
Free
Sep 23
03 PM - 05 PM (Europe/London)
-
English
Free
Oct 06
12 PM - 02 PM (Asia/Singapore)
-
English
Free
Oct 13
03 PM - 05 PM (Europe/London)
-
English
Free
Oct 27
09 AM - 11 AM (America/Los_Angeles)
-
English
Free

Public Class Registration

If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.

Private Class Request

If your company is interested in private training, please submit a request.

See all our registration options

Registration options

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

Runtime

Self-Paced

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

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Instructors

Instructor-Led

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

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Learning

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

Scale

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

Data Analyst

AI/BI for Data Analysts

This course teaches data analysts how to design, build, publish, and operate AI/BI Dashboards in Databricks. AI/BI Dashboards combine governed Unity Catalog data with interactive visualizations, filters, and Genie integration so business users can explore answers without writing code.

The course follows a single end-to-end build. You start with source tables in Unity Catalog and finish with a published, monitored multi-page dashboard. Along the way you learn how dashboards fit into the broader Databricks AI/BI product family and where Genie, datasets, visualizations, and filters each fit in the workflow.

The content covers:

• AI/BI Dashboard fundamentals and how they relate to Genie and the rest of the Databricks platform.

• Exploring source data in Unity Catalog and designing reusable dashboard datasets with SQL.

• Authoring visualizations (KPIs, trends, breakdowns) and laying out a clean multi-page dashboard.

• Using Genie Code to draft SQL, charts, and filters from natural language prompts.

• Adding filters to make dashboards interactive and responsive to viewer questions.

• Publishing, sharing, and managing permissions so the right people can view and edit the dashboard.

• Running the dashboard in production with scheduled refresh, caching, and usage monitoring.

Note: For SCORM lecture files, please ensure that you close the SCORM window after completing the content. Do not click the ‘Next Lesson’ button, as doing so may prevent the SCORM module from being marked as complete.

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

Free
2h
Associate

Questions?

If you have any questions, please refer to our Frequently Asked Questions page.