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Getting Started with Azure Databricks Genie Spaces
Learn what Genie Spaces are, review prerequisites, limits, and costs, build a space step by step, and use metadata and benchmarking to keep results reliable and measurable.
In Getting Started with Azure Databricks Genie Spaces, Zane Goodman introduces Genie Spaces as a practical way to explore and interact with data more easily inside Databricks. You’ll learn what Genie Spaces are, what problems they’re designed to solve, and how they fit into real analytics workflows, especially when you want faster discovery and easier access to trusted datasets.
You’ll also walk through the key setup considerations before building, including prerequisites, limits, and cost awareness, then create a Genie Space step by step. Zane closes by showing how metadata and benchmarking help you keep experiences reliable and measurable as usage grows. By the end, you’ll have a clear foundation for creating Genie Spaces thoughtfully, with the right guardrails and performance expectations.
Course Outline ( Free Preview)
Module 00 - Introduction
Zane kicks off the course with a clear overview of what you’ll learn and why Genie Spaces matter in Databricks. You’ll get a high-level sense of how Genie Spaces support faster exploration and more consistent access to data, plus a roadmap of the setup, build, and measurement steps you’ll complete.
Module 01 - What Are Genie Spaces?
Learn what Genie Spaces are in plain terms and how they’re intended to be used. Zane explains the value they provide, where they fit in a Databricks workflow, and the kinds of outcomes you can expect when you build Genie Spaces around trusted datasets and common user questions.
Module 02 - Prerequisites, Limits, And Costs5 min.
Before you build, you need to understand what’s required and what can impact spend. This module covers the practical prerequisites for using Genie Spaces, any important limits or constraints to plan around, and how to think about costs so you can enable the feature responsibly and avoid surprises.
Module 03 - Building a Genie Space25 min.
Follow along as Zane builds a Genie Space step by step. You’ll see how to configure the core setup, connect it to the right data context, and validate that the experience works as expected. This module focuses on creating something usable, not just “turned on.”
Module 04 - Metadata and Benchmarking68 min.
Finish by learning how to evaluate and improve your Genie Space over time. Zane explains why metadata matters for clarity and trust, and how benchmarking helps you measure performance and consistency. You’ll leave with a practical mindset for keeping Genie Spaces reliable as data and usage evolve.
Zane Goodman is a Trainer for Pragmatic Works specializing in the Power Platform. He's worked in skilled labor roles as well as the construction industry. Zane spent a lot of time in attics, on boom lifts, and in ditches making sure all the lights turned on properly. Now his primary focus is turning on the light for learning, helping our customers learn the ins and outs of Power Apps.
