1. Data Pipeline Foundations9. Prototyping

9 - Prototyping

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Before transforming data in one of Foundry’s data integration applications described in the next exercise, data engineers can prototype data changes in one or more of the analytics applications below that allow for rapid experimentation. What would my dataset look like if I change this column from a double to an integer? What kind of pivot would shape the data for my use case? Would exploding this array create the right data structure for my Ontology objects?

  • Contour: A no-code environment for applying common data analysis operations in a drill-down sequence.
  • Code Workbook: A graphical interface and console that can be used to prototype SQL and Python code transformations before moving them into a production data integration application.
  • Preparation: A no-code environment specifically tailored for testing data cleaning steps.