Which option meets the requirements for captioning and analyzing this data?
Log clicks in weblogs by URL store to Amazon S3, and then analyze with Elastic MapReduce
Push web clicks by session to Amazon Kinesis and analyze behavior using Kinesis workers
Write click events directly to Amazon Redshift and then analyze with SQL
Publish web clicks by session to an Amazon SQS queue then periodically drain these events to Amazon RDS and analyze with SQL.
Explanations:
Logging clicks in weblogs and analyzing with Elastic MapReduce is suitable for batch processing, but it does not support real-time analysis or immediate modification of page layouts based on user behavior.
Pushing web clicks by session to Amazon Kinesis allows for real-time processing of the data. Kinesis can handle continuous data streams and enables immediate analysis and response to user behavior, which is essential for modifying page layouts and increasing user engagement.
Writing click events directly to Amazon Redshift is suitable for data warehousing and batch analysis but does not provide the real-time capabilities required for immediate behavioral analysis and page layout modifications.
Using Amazon SQS for click events introduces latency due to periodic draining to Amazon RDS. This method is not optimal for real-time analysis, which is necessary for adjusting page layouts based on user behavior as it occurs.
From my perspective, the answer is:
Push web clicks by session to Amazon Kinesis and analyze behavior using Kinesis workers
If I’m correct, the answer is:
Push web clicks by session to Amazon Kinesis and analyze behavior using Kinesis workers