Embed presentation
Download to read offline



















This document discusses interactive data science notebooks using Apache Zeppelin. It introduces notebooks and their benefits for data exploration, describes Apache Zeppelin's features including interpreters for various programming languages and the ability to write code, show outputs, collaborate, store and share notebooks. Alternatives like IPython/Jupyter and Mathematica are mentioned, and the document outlines Zeppelin's roadmap and concludes with thanks.

















