Loading Google Sheets into Databricks

Purpose: To import and persist data from a Google Sheets into a Databricks managed Delta Table for querying and integration with Spark-based workflows.

Process Overview:

1. Export the Google Sheet as CSV via its public link:

   sheet_url = "https://docs.google.com/spreadsheets/d/.../export?format=csv&gid=0"

2. Read the CSV into a pandas DataFrame:

   pdf = pd.read_csv(sheet_url)

3. Convert to a Spark DataFrame:

   df = spark.createDataFrame(pdf)

4. Save the data as a managed table in Databricks:

   df.write.mode("overwrite").saveAsTable("example.databricks.table_name")

Applications:

• Automating ingestion of lightweight reference data.
• Collaborative data entry pipelines.
• Quick ETL prototypes with spreadsheet-based inputs.