Apache: Big Data 2016

Data Science is best played as a team sport. Zeppelin facilitates this collaboration via a web based notebook interface to state-of-the-art big data (Flink, Spark, Hive, Cassandra, and many more), with custom visualization powered by AngularJS built in. Markdown allows for rich notation in-line with the code. Work can be shared seamlessly across the organization. Further, interactive visualizations can be shared with business analysts and sales reps, great for prototyping and proof of concepts. But the collaboration also runs between technologies, by leveraging the Zeppelin Context sharing variables BETWEEN contexts. E.g. the results of a Flink paragraph can be passed to a Spark paragraph; the best tool can be used for the job can be used at each step in analytics pipeline and a data scientist who loves Scala Flink can easily work with a data scientist who loves pyspark.