This blog post continues the series "Getting Data Into ClickHouse" and explores ways to get data into ClickHouse, focusing on using Amazon S3 storage as both a source of data and as a queryable data repository in its own right. The authors provide examples of querying forex data from S3 using ClickHouse for ad-hoc queries where users don't need to access the dataset frequently, and inserting the data into a table to utilize ClickHouse's full capabilities for real-time analytics. They also demonstrate how to visualize forex trading insights using Grafana, including candlestick charts and Bollinger Bands. The post highlights the benefits of using S3 as a source of data for ad-hoc queries and insertion into ClickHouse for real-time analytics, and provides examples of how to optimize query performance and schema configuration for improved results.