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Get Started with Lakebase

This get started 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.


Through hands-on labs, you will:

Create and explore a Lakebase project using autoscaling compute

• Navigate the Lakebase UI, including branching, monitoring, and configuration settings

• Create and query tables using the Lakebase SQL Editor

• Query Lakebase data from Databricks using Lakehouse Federation and foreign catalogs

• Perform Reverse ETL by synchronizing Delta tables to Lakebase

• Connect to Lakebase from Python and perform basic CRUD operations


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.


By the end of the course, you will understand how Lakebase enables organizations to bridge operational systems and analytics within a single governed platform powered by Unity Catalog and the Databricks Lakehouse.


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. You can access the lecture notebooks in the Vocareum lab environment.

Skill Level
Onboarding
Duration
2h
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.

Outline

• Lakebase Core Concepts and Architecture

• Demo: Creating and Exploring a Lakebase Project

• Demo: Querying Lakebase with Lakehouse Federation

• Demo: Syncing Unity Catalog Tables to Lakebase Postgres Tables

• Demo: Lakebase Autoscaling and Python CRUD Quickstart

• Bonus Lab: Building Your First Databricks App with Lakebase Autoscaling

Upcoming Public Classes

Date
Time
Your Local Time
Language
Price
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

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

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