ZeroMega Project, created in partnership with Microsoft Team

Social Media Feed Analytics with C# with a Twitter v2 streaming API

Azure Stream Analytics processes ATM transaction data streams, employing Event Hub, Storage, and Stream Analytics Job. Queries include total amounts and alerts. The setup and query execution process are documented with screenshots.

Code examples to demonstrate usage of Azure Cloud Services, Azure Table, Azure Functions, Azure Stream Analytics for an IoT solution

Azure Stream Analytics unit testing solution (fixture and script)

A B2B solution and architecture. This includes code for Azure Function App, SQL Server. Integration with azure synapse and event hubs as well.

Build an end-to-end serverless streaming platform with Event Hubs and Stream Analytics.

Demo console app to read data from TI CC3200 SensorTag and post data to Azure Event Hub

Simulate streaming data in Azure, using your own data.

Analyzing IoT Data Using Azure Stream Analytics

Online Ticket Booking Stream data processing

Sample of using the Bosch BME680 sensor connected to a Raspberry Pi Zero and uploading/processing data in Azure

Streaming data from and to a RaspberryPi to the Azure cloud using IoT Hub, Stream Analytics, Functions and a Service Bus Queue

Azure IoT based Home Sensors Dashboard and Alerts

Azure ARM Template for Stream Analytics Streaming Jobs with inputs and outputs

A Cosmos DB Change Feed feature to utilize with (Cosmos DB + Azure Functions, Azure Event Hubs, Azure Stream Analytics, Power BI). Easy to set up and to the point to kickstart change feed pipeline.

Real-time flights monitoring using Azure Services (API + COSMOSDB + EVENTHUB + FUNCTIONS + ...)

Neste projeto, construiremos um pipeline no Azure usando o Azure Stream Analytics, o Azure Event Hub e o banco de dados SQL do Azure para realizar análises de dados no conjunto de dados de transporte. Também criaremos um painel interativo no Power BI.

This repository hosts the programming exercises for the course "Big Data Management Systems" of AUEB DMST.

Material para el taller "Datos en tiempo real con Azure Stream Analytics" presentado en el evento de "Data Scients Weekend Vol.2"