Version 1 of Technical Best Practices of Azure Databricks based on real world Customer and Technical SME inputs

Collection of Sample Databricks Spark Notebooks ( mostly for Azure Databricks )

Project Y is a straightforward Landing Zones automated deployment tool dedicated to data processing.

A data pipeline project build on databricks and azure to demostrate lifecycle of a cloud data project.

Build a movie recommendation data pipeline using Azure services for efficient data ingestion, transformation, and orchestration. Utilize Azure Blob Storage, Azure Databricks, and Azure Data Factory to implement collaborative filtering and PySpark ML for accurate movie recommendations.

Sentiment Analysis for Tweets

Making ODBC connection from Databricks (Azure Databricks) to Azure SQL Database with Azure AD User Access Token.

Collection of data on Formula One Racing

Springboard Open Ended Capstone

Practice with Azure Synapse Analytics/Databricks Pipeline

Personal ETL project

Notebook sample of Exploratory Data Analysis (EDA) for Prudential Life Insurance Sample Data

Ingested Tokyo Olympic data into Azure Data Lake using Azure Data Factory. Enhanced data quality with Apache Spark on Azure Databricks. Optimized SQL queries on Synapse Analytics, reducing execution time. Developed engaging Power BI dashboards, boosting user engagement creating KPI's with DAX.

Covid ETL Project using Azure Data Engineering Stack

This project builds an End-to-End Azure Data Engineering Pipeline, performing ETL and Analytics Reporting on the AdventureWorks2022LT Database.

An Internship Project Body Fat Estimator Deployed on Azure Cloud Platform

Using SAS to authenticate and access to ADLS Gen 2 from Azure Databricks

This Repo provide code showcasing how to connect Pyspark (Azure DataBricks) to EventHub

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

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