If you are interested in Big Data, you surely already know about Apache Spark or Apache Cassandra, but do you know about Apache Zeppelin? Do you know that it is possible to draw out beautiful graph using an user-friendly interface out of your Spark RDD and Cassandra queries? In this session, I will introduce Zeppelin by live coding example and highlight its modular architecture which allows you to plug-in any interpreter for the back-end of your choice (AsciiDoc, Cassandra, etc.). Zeppelin is a young but very promising Apache project. Its modular and interpreter-based architecture makes it suitable for any kind of back-end, not just Spark (like Spark Notebooks for example). The community is vivid and a dozen of pull requests have been created to integrate interpreters for different technologies (Apache HBase, Apache Lens, Apache Ignite, etc.). The community is in a building phase and my talk aims at presenting Zeppelin to the developers and to extend Zeppelin community. The talk itself will be done using Zeppelin. Yes, it is possible to execute Markdown, AngularJS or just plain HTML code using Zeppelin directly.