Palantir Core Workflow A — Data Pipelines with Transforms Overview Build Foundry data pipelines using the library. Covers the and decorators, input/output dataset wiring, incremental transforms, and for Spark tuning. This is the primary workflow for all data processing in Foundry. Prerequisites - Completed setup - A Foundry Code Repository (Python Transforms type) - Understanding of PySpark DataFrames (Foundry runs Spark under the hood) Instructions Step 1: Project Structure Step 2: Basic Transform with @transform df Step 3: Multi-Input Join Transform Step 4: Low-Level @transform for File I/O…