Examples of Flink on Azure

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

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

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

Code samples as published on blog

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

Azure-based solution for ingesting and analyzing Formula 1 data using Azure Data Lake Storage Gen2 and 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 builds an End-to-End Azure Data Engineering Pipeline, performing ETL and Analytics Reporting on the AdventureWorks2022LT Database.

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

Practice with Azure Synapse Analytics/Databricks Pipeline

This project presents a sophisticated data-driven web application that integrates React for frontend visualization, NodeJS for backend data retrieval, and Microsoft's Cosmos DB for data storage. Leveraging the fault tolerance, partitioning, replication, and global distribution advantages of Cosmos DB.

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

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.

Data pipeline project (ELT using Microsoft Azure)

Contains solutions/versions of Batch Data Pipelines created on Azure Data Factory

Tokyo Olympics Data Analysis: Creating a ETL pipeline using Azure Data Factory to ingest data, transform it using Azure Databricks and querying and building reports using tools like Synapse Analytics and PowerBI

This is a project where data ingestion, data transformation, data preparation and other data activities including Azure SQL. Making pipelines production ready, monitoring and CI/CD implementation.

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Tokyo Olympic 2021 Analysis Using Microsoft Azure platform