Question:
Imagine you're devising a real-time analytics solution for a social media company. They desire to oversee and scrutinize user posts and reactions instantaneously. Your assignment is to develop an Azure function that is activated by this live activity. Considering the company's requirement for low-latency data access, complex querying, and globally distributed data, which Azure services would you utilize to accomplish this task? Please provide the triggers and bindings in the given code:
[FunctionName("AnalyzeUserActivity")]
public static void Run(
/* Triggers and Bindings here */
ILogger log)
{
// Loop over the events array
// For each event, analyze the event data
// Write the analysis results to globally distributed storage
}
Answer:
Event Hubs would be a great choice for triggering the Azure function for real-time monitoring and analysis. Event Hubs are designed to capture streaming data like the one from social media feeds. After capturing this real-time data, it can then be processed using Azure Cosmos DB. Cosmos DB, a globally-distributed multi-model database service, would provide the required low-latency data access and support for handling large amounts of data, making it an excellent choice for processing this real-time data according to the company's requirements.
[FunctionName("AnalyzeUserActivity")]
public static void Run(
[EventHubTrigger("<event-hub-name>", Connection = "EventHubConnectionString")]
EventData[] events,
[CosmosDB("<database-name>", "<collection-name>", ConnectionStringSetting = "CosmosDBConnectionString")]
out dynamic document,
ILogger log)
{
// Loop over the events array
// For each event, analyze the event data
// Write the analysis results to globally distributed storage
}