Zeppelin, Spark SQL and MLLib to simplify exploratory Data Science
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
