The text provides a comprehensive guide on using N1QL (SQL for JSON) to analyze JSON datasets, specifically using US Open golf scores as a case study. It highlights the efficiency of N1QL in extracting insights from JSON data compared to traditional methods like writing Python scripts. The article demonstrates the application of upcoming features such as Common Table Expressions (CTE) and Window Functions in Couchbase’s Mad-Hatter release to create a leaderboard, rank players, and determine tournament winners. Through detailed steps, it showcases how to ingest data into Couchbase, generate reports, and use advanced querying techniques to analyze player performances round by round, culminating in producing a full scorecard for the tournament winner, Brooks Koepka. The guide also emphasizes the use of GitHub repositories for source data and queries, providing a practical resource for readers interested in replicating the analysis.