Examples of Flink on Azure
-
Updated
Oct 30, 2023 - Java
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
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)
Scala code to convert CSV files stored in Azure Blob Storage to Parquet and store into Azure Storage, using Data bricks notebook and ARM template to run the notebook as a Azure Data Factory Job
The future of sustainability and training: involvement and performance of companies and strategic suppliers
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.
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.
Bugs In Cloud - Elenco dei Video
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
Add a description, image, and links to the azuredatafactory topic page so that developers can more easily learn about it.
To associate your repository with the azuredatafactory topic, visit your repo's landing page and select "manage topics."