Data exploration and visualization transform the work of data scientists. Zeppelin, Hadoop, Apache Spark SQL and MLLib are among key technologies that help simplify exploratory Data Science.
Zeppelin as a web based notebook server implements Spark, and other implementations, such as Hive, Markdown, D3 etc.
Zeppelin, Spark SQL and MLLib can be combined to simplify exploratory Data Science with a set of basic capabilities for data exploration that Zeppelin offers.
The primary goal is to build interactive data analytics
. En effect, you can also make beautiful
data-driven, interactive and collaborative documents.