chore: import upstream snapshot with attribution

2026-07-13 12:42:18 +08:00
commit 05f60106aa
288 changed files with 76871 additions and 0 deletions
@@ -0,0 +1,59 @@
+{
+  "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
+}