Build a Complete Sales Data Pipeline
Explore how to build a complete sales data pipeline from raw ingestion to cleaned data and final analysis in Databricks. Learn to organize data into bronze raw, silver cleaned, and gold aggregated layers. Perform SQL queries and visualize sales insights leveraging Delta Lake and Databricks notebooks.
We'll cover the following...
Now, we will build a simple data pipeline using the Lakehouse architecture. The pipeline will follow three common layers:
Bronze layer: Raw data ingestion.
Silver layer: Cleaned and transformed data.
Gold layer: Aggregated data ready for analytics.
This approach is widely used in modern data platforms because it separates raw data, cleaned data, and analytical data.
This pipeline will run inside a Databricks notebook, and screenshots of outputs should be captured after executing each code cell.
Understanding the bronze, silver, and gold layers
Modern data pipelines often organize data into multiple layers.
Bronze layer: The bronze layer contains raw data exactly as it arrives from external sources such as CSV files, APIs, or databases. No heavy transformation is performed here.
Silver layer: The silver layer contains cleaned and structured data. Typical operations include:
Removing missing values
Fixing ...