Sumo Notebooks Machine Data Science
This session highlights where Sumo and Data Science meet. The Sumo Data Science workflow enables users working with log and metrics data sets in a notebook environment. Notebooks are commonly used for data exploration and model training. Sumo provides curated datasets through its query interface represented as data frames. These data frames are used in machine learning frameworks such as Spark or Pandas for powerful analytics.