Complex Linked Visualizations and Analysis with Azure Event Hubs

Correct Answer: A

Power BI provides a platform to visualize and analyze the aggregated data in near-real-time.

Azure Stream Analytics can target Power BI as an output destination.

Processed data is passed into Power BI to enable near-real-time dashboard updates.

Option A is correct.

It is Power BI that should be used as an event consumer to create the complex linked visualizations and analyze the aggregated data in near-real-time.

Option B is incorrect.

Azure Event Hubs is a large data streaming platform and event ingestion service, that can be used to feed events from event producers into Azure Stream Analytics.

Option C is incorrect.

Azure Cosmos DB is a fully managed NoSQL database for contemporary application development.

It can be utilized for storing the output of data stream processing in Azure Stream Analytics but doesn't provide the facility to create the visualizations or dashboard.

Option D is incorrect.

Azure Blob storage offers an ingestion point for data streaming in an event processing solution that utilizes static data as a source.

To know more about event processing, please visit the below-given link:

The best possible option for creating complex linked visualizations and analyzing aggregated data in near-real-time as an event consumer depends on the specific use case and requirements of the project. However, given the options provided, the most appropriate service would be Power BI.

Power BI is a powerful business intelligence tool that enables users to create interactive and visually appealing reports and dashboards from various data sources. It offers a variety of visualizations and data analysis tools that allow users to gain insights from their data quickly and efficiently.

Event Hubs, on the other hand, is a data streaming platform that can ingest and process large volumes of event data in near-real-time. It can act as an event source or an event consumer, but it is not specifically designed for data visualization or complex analytics.

Azure Cosmos DB is a globally distributed, multi-model database service that supports NoSQL data models. It is designed to provide high throughput, low latency, and automatic scaling capabilities for various types of data, but it is not optimized for data visualization or complex analytics.

Azure Blob Storage is a scalable object storage service that can store massive amounts of unstructured data, such as text or binary data. It is useful for storing and managing data, but it does not provide visualization or analytics capabilities.

In summary, Power BI is the best option among the given choices for creating complex linked visualizations and analyzing aggregated data in near-real-time. However, it is important to consider the specific requirements of the project and the capabilities of other Azure services before making a final decision.