Examples of Flink on Azure

Local SQL Database ---> Azure ---> Power BI

Transform data from on-premises SQL Server to Azure Delta Lake Storage for Analytics and Visualization

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

Everything you need to know about cloning, importing and using the Profisee Azure Data Factory templates.

This solution performs analytics and outlier detections on Apache compliant web server logs. This is based on Microsoft Azure technologies & PowerBI.

Code samples as published on blog

A Re-do of Perth City Properties project using Azure Data Engineering technologies such as Azure Data Factory (ADF), Azure Data Lake Storage Gen2, Azure Blob Storage, Azure Databricks.

This repository is designed for a data science project aimed to education, wich uses a public database from brazilian educational research institute about the nationam highschool exam and applies ETL and datamining association rules to this dataset.

Framework de ingestão de dados com Azure Data Factory, compatível com Synapse Analytics e Microsoft Fabric

Springboard Open Ended Capstone

This project extracts data having 800k records from CSV in the data factory and convert it to parquet based data and finally create a PowerBI report of that parquet based data.

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

Azure projects - End to End Data Engineering Project with medallion architecture using Azure Data Factory & Azure Databricks. Azure Serverless/Logical DataWarehouse using Azure Synapse Analystics to demo CETAS, Data Modeling, Incremental loading, CDC and Sql Monitoring the data processing connected to Power BI

Tokyo Olympics Analysis Using AZURE platform

Practice with Azure Synapse Analytics/Databricks Pipeline

This Azure Data Factory (ADF) pipeline will be automatically triggered whenever a CSV file is dropped in a specific location within the Storage Account Container. The pipeline reads the contents of the CSV file, converts it into an HTML table, and then sends a notification containing the newly created table to the designated Microsoft Teams channel

To establish a robust data engineering pipeline that leverages rigorous data quality checks to deliver timely, accurate, and reliable data-driven insights for healthcare revenue cycle management (RCM). The pipeline will produce fact and dimension tables to empower reporting teams in generating critical KPIs.

This is an End to End Azure Data Engineering project copying data from Rest API to Azure cloud.