Streaming_Data_ETL_with_Apache_Spark_on_Databricks
This repository provides examples and code snippets for streaming data processing using Apache Spark on Databricks with AWS services. It demonstrates how to leverage the power of Spark streaming to process and analyze real-time data in a distributed and scalable manner, utilizing various AWS services for data ingestion and storage