Examples of Flink on Azure

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

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.

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.

Springboard Open Ended Capstone

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

Azure-based solution for ingesting and analyzing Formula 1 data using Azure Data Lake Storage Gen2 and Databricks

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

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

Covid ETL Project using Azure Data Engineering Stack

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.

Tokyo Olympics Analysis Using AZURE platform

This repository contains resources for mastering Azure Data Factory from scratch, specifically designed for data engineers. The repository includes pipelines, datasets, linked services, data flows, and an input file that can be used as a practical guide to understand and implement various data engineering tasks in Azure Data Factory.

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.