This text discusses the process of building a Customer 360 solution on Couchbase. The author starts by explaining that building such a solution requires careful thought and planning, particularly when it comes to extracting data from various source systems, transforming it into a usable format, and loading it into a target Couchbase bucket. The author proposes using Kafka as a middleman to pipe the data directly from the source systems into Couchbase, but notes that this approach results in disjointed and unconnected data. To address this issue, the author suggests using Couchbase's Eventing service to trigger real-time updates when new documents are inserted or updated in the target system. The text also touches on the idea of ETL (Extract, Transform, Load) processes, but notes that Couchbase's analytics capabilities can often eliminate the need for such processes. Ultimately, the author argues that using Couchbase as a single solution for customer data management can simplify the process and provide a more straightforward approach to building a Customer 360 solution.