Build Your AI Data Foundation with Databricks
Learn how to bring data from all your business systems into one clean, trusted place using Databricks. You'll build a layered data pipeline that gives your AI agent accurate, governed data to reason and act on.
Listen to the full course
6 chapters · 27 min · plays in order like an audiobook
What you'll learn
- Understand what Databricks is and what problem it solves
- Learn why AI agents need clean, organized data to work well
- Get a first look at the Medallion Architecture and its three layers
- See how multiple business systems create a messy data problem
- Understand what the Bronze layer is and why raw data matters
- Learn how Databricks connects to common business systems
Chapters
- 1
What Is Databricks and Why Does It Matter?
Before building anything, you need to understand what Databricks actually is and why it's become the go-to platform for preparing data for AI. This chapter explains the core idea in plain English and introduces the Medallion Architecture concept.
- 2
Ingesting Raw Data into the Bronze Layer
This chapter walks through how data flows from your CRM, ERP, and other tools into the Bronze layer. You'll learn why storing raw data exactly as it arrives is a smart first move and how Databricks makes ingestion simple.
- 3
Stitching Records with a Golden ID
Your customer 'Jane Smith' might show up as three different records across your CRM, billing system, and support tool. This chapter explains how to create one unique Golden ID that links all her records together into a single trusted identity.
- 4
Cleaning Your Data in the Silver Layer
Raw data is full of inconsistencies, missing values, and formatting mismatches. This chapter shows how the Silver layer transforms messy Bronze data into clean, validated, and standardized records that are actually reliable.
- 5
Building Gold Tables for Your AI Agent
The Gold layer is where clean data gets shaped into purpose-built tables that an AI agent can actually use. This chapter shows how to create business-ready datasets and connect them to an AI agent that reasons and acts on trusted information.
- 6
Governing Your Data at Every Layer
A data pipeline is only as good as the rules protecting it. This final chapter covers how to add access controls, track data lineage, and set up quality monitoring so your AI agent always works with accurate, governed data.