Data Flow Functions

The advanced data flow allows users to build a custom ETL and data model, which can later be queried from Discover. The first step is to configure your data flow using the data flow functions.

Continue through this section to learn about:

  • Sources: how to select a datasource, and which datasources can be used to build models
  • Targets: how to select the target (load destination) where the data should be stored
  • Select: using the various select functions
  • Preparation: options for data preparation
  • Column Operations: editing the columns in the tables
  • Joins: adding relationship joins between tables
  • Machine Learning: learn about the machine learning functions that can be applied to the ETL
  • Scripting: using the Marketplace, R, and Python add columns to tables