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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Writing to Apache Iceberg\n",
+    "\n",
+    "1. Insure you have a Google Bigquery service account key on disk\n",
+    "2. The service key location is set as an environment variable **BQ_KEY**\n",
+    "3. The dataset will be automatically created within the project associated with the service key\n",
+    "\n",
+    "The cell below creates a dataframe that will be stored within Google Bigquery"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['data transport version ', '2.4.0']\n"
+     ]
+    }
+   ],
+   "source": [
+    "#\n",
+    "# Writing to Google Bigquery database\n",
+    "#\n",
+    "import transport\n",
+    "from transport import providers\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "PRIVATE_KEY = os.environ['BQ_KEY'] #-- location of the service key\n",
+    "DATASET = 'demo'\n",
+    "_data = pd.DataFrame({\"name\":['James Bond','Steve Rogers','Steve Nyemba'],'age':[55,150,44]})\n",
+    "# bqw = transport.get.writer(provider=providers.ICEBERG,catalog='mz',database='edw.mz',table='friends')\n",
+    "bqw = transport.get.writer(provider=providers.ICEBERG,table='edw.mz.friends')\n",
+    "bqw.write(_data,if_exists='replace') #-- default is append\n",
+    "print (['data transport version ', transport.__version__])\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Reading from Google Bigquery\n",
+    "\n",
+    "The cell below reads the data that has been written by the cell above and computes the average age within a Google Bigquery (simple query). \n",
+    "\n",
+    "- Basic read of the designated table (friends) created above\n",
+    "- Execute an aggregate SQL against the table\n",
+    "\n",
+    "**NOTE**\n",
+    "\n",
+    "By design **read** object are separated from **write** objects in order to avoid accidental writes to the database.\n",
+    "Read objects are created with **transport.get.reader** whereas write objects are created with **transport.get.writer**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "           name  age\n",
+      "0    James Bond   55\n",
+      "1  Steve Rogers  150\n",
+      "2  Steve Nyemba   44\n",
+      "--------- STATISTICS ------------\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "import transport\n",
+    "from transport import providers\n",
+    "import os\n",
+    "PRIVATE_KEY=os.environ['BQ_KEY']\n",
+    "pgr = transport.get.reader(provider=providers.ICEBERG,database='edw.mz')\n",
+    "_df = pgr.read(table='friends')\n",
+    "_query = 'SELECT COUNT(*) _counts, AVG(age) from friends'\n",
+    "_sdf = pgr.read(sql=_query)\n",
+    "print (_df)\n",
+    "print ('--------- STATISTICS ------------')\n",
+    "# print (_sdf)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "An **auth-file** is a file that contains database parameters used to access the database. \n",
+    "For code in shared environments, we recommend \n",
+    "\n",
+    "1. Having the **auth-file** stored on disk \n",
+    "2. and the location of the file is set to an environment variable.\n",
+    "\n",
+    "To generate a template of the **auth-file** open the **file generator wizard** found at visit https://healthcareio.the-phi.com/data-transport"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}