Introduction to Data Analysis in Foundry21. Exercise Summary

21 - Exercise Summary

This content is also available at learn.palantir.com ↗ and is presented here for accessibility purposes.

Learning Objective Coverage

  1. Review primary data types available for analysis in Foundry.

    • Tabular data
    • Ontology data
    • Geospatial data
  2. Choose the optimal Foundry applications for desired analytical outcomes.

    • Contour
    • Code Workbook
    • Object Explorer
    • Quiver
    • The Foundry Map
  3. Check on the lineage, freshness, usage, and health of the following Foundry data types:

    • Tabular
    • Ontology
    • Geospatial
    • Time series

What you learned

  • The Map is Foundry's dedicated geospatial analysis and visualization application that allows analysis to integrate data from across Foundry into a cohesive geospatial experience.
  • Contour's Map board enables analysts to present tabular geospatial data.
  • Quiver's Map chart enables analysts to present geospatial data that has been mapped to the Ontology.
  • Technical data analysts and data scientists can use Code Workbook to apply common libraries for parsing and analyzing geodata.
  • Data engineers may consider implementing code-based Data Expectations checks on geohash or geoJSON columns to reduce the risk of malformed geospatial information propagating through the pipeline, the Ontology, and analyses.