At a presentation at JDays in Göteborg, Apache Zeppelin was introduced as a web-based notebook that facilitates interactive data analytics and supports various interpreters, including a seamless integration with Spark, which can utilize Couchbase's Spark Connector. Although building the latest version of Apache Zeppelin from source requires some technical setup, including dependencies like git and Maven, the process is straightforward. Users can enhance the Spark interpreter by adding dependencies such as the Couchbase Spark Connector and properties for accessing data like the beer-sample bucket. With Apache Zeppelin, users can create Spark Pads to read and manipulate data from Couchbase using Scala or Spark SQL, allowing for operations like filtering and grouping data, exemplified by queries on the beer-sample dataset. The document emphasizes the flexibility and potential of Apache Zeppelin for data analytics and encourages exploring its documentation for further learning.