Videos
In this short Databricks demo, Green Leaf Data Architect, Jess, walks through how to load a raw CSV file into a lakehouse table, then shows how Databricks’ AI assistant can help resolve a common ingestion problem automatically. You’ll see:
- Uploading a CSV into a Databricks volume
- Reading the file into a dataframe
- Writing to a table and encountering a real-world issue (invalid characters in column names)
- Using Databricks AI assistance to diagnose the error and suggest an inline fix
Why it matters: flat files often introduce small inconsistencies that slow teams down. AI-assisted troubleshooting can reduce hand-coding and speed up time-to-table, especially when you’re onboarding new datasets quickly.
Watch the full discussion demo below.