You can stream your AWS S3 access logs into a SingleStore table using a pipeline, allowing you to easily analyze and query the data in real-time. To create the pipeline, first create a table with the desired columns, then load the data from S3 using a pipeline configuration that specifies the region, credentials, and fields to be loaded. The pipeline continuously loads new data as it appears in S3, making it easy to monitor and analyze your access logs. Once the pipeline is set up, you can run batch queries on the loaded data, such as selecting the first few thousand files or checking the status of recent batches. Additionally, you can use persisted columns to optimize query execution and avoid unnecessary computations by specifying a regex pattern for the column, allowing SingleStore to skip segments that don't match the pattern and improve performance.