Fully automated Databricks PySpark DLT pipeline for integrating with Kafka Topics & Kafka Schema Registry
-
Updated
May 1, 2026 - Python
Fully automated Databricks PySpark DLT pipeline for integrating with Kafka Topics & Kafka Schema Registry
Comprehensive Jupyter notebook designed for analyzing and predicting pharmaceutical sales with PySpark
Python package for Spark programming and its powerful, higher-level libraries such as SparkSQL and MLlib (for Machine Learning), very useful for general Big Data analysis.
Retail sales data pipeline built on Databricks using medallion architecture (Bronze/Silver/Gold) with PySpark and Delta Lake for scalable ingestion, cleaning, and analytics-ready reporting.
Add a description, image, and links to the py-spark topic page so that developers can more easily learn about it.
To associate your repository with the py-spark topic, visit your repo's landing page and select "manage topics."