Which solution is best suited for a financial services company that requires real-time aggregation of stock trade data into a data store, along with a dashboard for anomaly detection?

The chosen solution of using Amazon Kinesis Data Firehose to stream data to Amazon Redshift and then visualizing it with QuickSight is optimal for a financial services company requiring real-time aggregation of stock trade data.

Amazon Kinesis Data Firehose is designed specifically for capturing and loading streaming data in real time. It provides a reliable and scalable way to ingest data. Streaming data from stock trades necessitates a solution that can handle continuous inflow and provide low-latency processing, which Kinesis Data Firehose excels at due to its ability to automatically scale and buffer the incoming data before loading it into the destination.

Using Amazon Redshift as the destination for the data allows for efficient querying and analysis of that aggregated stock trading data. Redshift's architecture is built for handling large datasets with high performance, making it suitable for querying complex trade analytics.

Incorporating QuickSight for visualization further enhances the solution by enabling real-time dashboards and anomaly detection capabilities. QuickSight can efficiently connect to Redshift to visualize data in near real time, thereby allowing the financial services company to monitor stock trades and detect anomalies swiftly.

This approach ensures that stock trade data is not only aggregated in real time but also readily available for analysis and visualization, making it a comprehensive solution