{
  "cells": [
    {
      "cell_type": "markdown",
      "source": ["# Databricks Notebook"],
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": ["%python\n", "def transform_data(df):\n", "    return df.dropna()\n"],
      "metadata": {},
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": ["%sql\n", "SELECT * FROM catalog.schema.raw_data\n", "JOIN catalog.schema.lookup ON raw_data.id = lookup.id\n"],
      "metadata": {},
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": ["%r\n", "clean_data <- function(x) {\n", "  na.omit(x)\n", "}\n"],
      "metadata": {},
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": ["%scala\n", "val x = 1\n"],
      "metadata": {},
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": ["%md\n", "## Results section\n"],
      "metadata": {},
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": ["def process_results(data):\n", "    result = transform_data(data)\n", "    return result\n"],
      "metadata": {},
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": ["%sql\n", "CREATE TABLE catalog.schema.output AS SELECT * FROM catalog.schema.raw_data\n"],
      "metadata": {},
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "language": "python",
      "display_name": "Python 3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}