Collection of data on Formula One Racing

Springboard Open Ended Capstone

This project exemplifies a robust Azure streaming data solution tailored for fitness data analysis, leveraging Azure's powerful ecosystem to deliver actionable insights and drive informed decisions in health and wellness management.

Covid ETL Project using Azure Data Engineering Stack

Accessing Azure Databricks Platform using Databricks Python SDK

This project gets data from Spotify API , ingests into kafka for streaming and processes it through spark streaming. All this is done on Azure.

Implemented Azure Databricks for real-time data processing and governance using Unity Catalog, Spark Structured Streaming, Delta Lake features, Medallion Architecture, and end-to-end CI/CD pipelines. Focused on incremental loading, compute cluster management, maintaining data quality, and creating workflows.

This repo explains the importance of integrating azure databricks with azure machine learning. Explained in a whole easy way to accomplish it.

This project creates an end-to-end data pipeline and interactive dashboard for analyzing mutual funds' performance using Microsoft Azure and Power BI. It leverages Azure Data Factory, Data Lake Storage, SQL Database, and Databricks to build a scalable, efficient pipeline, providing real-time insights and data-driven decision-making.

In this study Boston House Prices were predicted by using Azure Databricks platform. The data includes the home values of Boston in 1970's. Five of the 14 diverse variables were used for this small study. These are: CRIM - per capita crime rate by town RM - average number of rooms per dwelling TAX - full-value property-tax rate per $10,000 LSTAT…