Section 3: Solution/Architecture

3.1 Leveraging Azure for Serverless Data Processing

To solve this problem, the company can use Azure’s serverless offerings to build their data processing and analytics platform. They can use Azure Functions to run the code that processes and analyse the data, and Azure Event Hubs to ingest the data and trigger the functions. The processed and analysed data can then be stored in Azure Cosmos DB, which is a globally distributed, multimodel database that is well-suited for real-time data processing and analytics.

This solution allows the company to focus on developing the data processing and analytics logic, without having to worry about the underlying infrastructure. The functions will be automatically scaled up or down based on demand, and the company only pays for the time that the functions are actually running.

Serverless computing is a cloud computing execution model in which the cloud provider dynamically allocates resources to run an application’s code, and the user only pays for the time that the code is actually running. This allows developers to focus on building and deploying their applications, without having to worry about the underlying infrastructure. One example of using server-less on Microsoft Azure is to build a real-time data processing and analytics platform.