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Zero to Hero in 5 Minutes: Analytics

Summary

  • 5-Minute Dashboards: Build production-ready AI/BI dashboards in minutes, not weeks, using Databricks Data and AI platform's no-code interface.
  • Unified Data Ingestion: Automatically ingest structured and unstructured data from CSV files, Salesforce, and other sources directly into governed Unity Catalog tables.
  • AI-Powered Visualization: Create visualizations instantly using the Databricks Assistant and enable Genie to answer questions directly on your dashboard.

Zero to Hero in 5 Minutes: Analytics

Watch: Zero to Hero in 5 Minutes: Analytics
In this video, you will learn how to build an interactive AI/BI dashboard in a matter of minutes using Databricks.
🎯 What You'll Learn:
How to quickly create a production-ready AI/BI dashboard using Databricks
How to create and manage data sources registered in Unity Catalog
How to build a multi-page dashboard
How to add and utilize basic filters
How to create visualizations quickly with the Databricks Assistant
How to enable Genie feature to get data insights by asking questions directly on the dashboard
How to publish a dashboard
How to use global filters
How to embed the dashboard into other tools
CHAPTERS:

Chapters

FAQs

How quickly can I create a dashboard?

This video demonstrates building a fully functional AI/BI dashboard from zero in just 5 minutes, including data ingestion, schema creation, and live visualizations.

Can I pull data from multiple sources?

Yes. This video shows ingesting both CSV files uploaded directly and live data from Salesforce using Lake Flow Connect, with all data automatically governed by Unity Catalog.

Do I need to write SQL to create visualizations?

No. The Databricks Assistant helps create visualizations with just a few clicks. You can also leverage AI functions directly in SQL to summarize text and extract insights.

How is ingested data secured?

All ingested data is automatically governed by Unity Catalog, with fine-grained permissions assigned to users and groups. Every table, column, and function is audited and secured across workspaces.

Full transcript

0:00 Introduction to the time it takes to build a production-ready dashboard

Think getting to insights takes weeks? Not with Databricks. In the next 5 minutes, I'll take you from zero to fully operational AI-powered analytics, complete with seamless ingestion, instant queries, and live dashboards. Let's organize our data using the catalog explorer. Here, I can easily create a new catalog for my workspace and define a schema within it, giving me a structured, governed environment for storing tables, views, functions, models, and more.

0:30 Creating and managing data sources

With Databricks, I can ingest structured and unstructured data from virtually any source in minutes. Here, I'm uploading a CSV directly from my desktop using the add data UI. Just drag and drop, and it's automatically registered in the catalog that I created. With just a few clicks of a button, our table is already being created. But we don't stop at local files. I also want to pull live data from Salesforce. With Lake Flow Connect, I can set up a pipeline name, select my connection to Salesforce, and make sure to select the catalog where the data will be going to.

1:03 Building a multipage dashboard

I can authenticate, select the Salesforce objects I need, and land that data directly into Delta tables, governed and ready for analysis. Once the ingestion pipeline is saved, we can now save and run our pipeline so that data can begin flowing. Once data is ingested, it's automatically governed by Unity Catalog. In the catalog explorer, we can now see all the tables that have been ingested from Salesforce. Now, I'm assigning fine-grained permissions to different users and groups.
Every table, column, function is audited and secured across workspaces, personas, and clouds. Now, let's create a serverless SQL warehouse. This gives us instant scalable compute without worrying about provisioning, tuning, or resource management. It's fully managed by Databricks, auto scales based on query load, and starts within seconds, which is perfect for BI workloads, ad hoc queries, and cost-efficient analytics.

2:24 Adding and demonstrating basic filters

I'm in the SQL editor, and I'd like to write a query. I'll leverage the inline assistant to help me create a materialized view on this logic. This view automatically stays in sync with underlying data and is stored in Delta format, giving you both performance and consistency. We can leverage AI in SQL by using Databricks AI functions. These are native serverless functions that let you bring powerful language intelligence to your data.
You can summarize text, translate text, and more. I can take a look at my previously created materialized view in the catalog explorer. From there, I can configure fine-grained permissions for users or entire groups. I can even see the lineage, tracing how the materialized view was derived from its original sources to its current form. And the usage insights provide visibility into how often the view is queried, which teams or users are leveraging it, and the overall impact it has across workloads.

3:30 Creating visualizations using the Databricks Assistant

Now, let's bring this to life with a dashboard. I already have a few visualizations loaded up, but I'll build a quick line chart just using a few words. Cool. I can also add a filter with no extra back-end work required. These dashboards are native to Databricks, meaning no data movement, no external BI licensing, and no security gaps. They're also governed through Unity Catalog, so you can track exactly who access what, which is ideal for audit and compliance.
Now, I'm going to publish our dashboard and enable Genie, our conversational AI assistant. Genie uses governed metadata and the materialized view we created earlier to generate the right SQL, run it, and return an answer instantly. This is not just a chatbot. It's a fully governed intelligent interface built for real decision-making. So, from spinning up compute, ingesting and governing data, writing queries with AI help, building dashboards, and even asking questions with natural language, Databricks SQL gives you the full modern analytics stack in one experience.

Learn more about the Databricks Data and AI platform.

The information provided herein is for general informational purposes only and may not reflect the most current product capabilities or configurations.