diff --git a/sdk/python/examples/quickstart/Quickstart.ipynb b/sdk/python/examples/quickstart/Quickstart.ipynb
index 9fd1680ea9c..96e55f2992c 100644
--- a/sdk/python/examples/quickstart/Quickstart.ipynb
+++ b/sdk/python/examples/quickstart/Quickstart.ipynb
@@ -2,10 +2,8 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -13,13 +11,10 @@
     "\n",
     "from feast.sdk.resources.entity import Entity\n",
     "from feast.sdk.resources.storage import Storage\n",
-    "from feast.sdk.resources.feature import Feature, Datastore, ValueType\n",
-    "from feast.sdk.resources.feature_set import FeatureSet, FileType\n",
-    "import feast.specs.FeatureSpec_pb2 as feature_pb\n",
-    "\n",
+    "from feast.sdk.resources.feature import Feature\n",
+    "from feast.sdk.resources.feature_set import FeatureSet\n",
     "from feast.sdk.importer import Importer\n",
-    "\n",
-    "from feast.sdk.client import Client, ServingRequestType"
+    "from feast.sdk.client import Client"
    ]
   },
   {
@@ -31,11 +26,164 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ride</th>\n",
+       "      <th>pickup_datetime</th>\n",
+       "      <th>log_trip_duration</th>\n",
+       "      <th>distance_haversine</th>\n",
+       "      <th>distance_dummy_manhattan</th>\n",
+       "      <th>direction</th>\n",
+       "      <th>month</th>\n",
+       "      <th>day_of_month</th>\n",
+       "      <th>hour</th>\n",
+       "      <th>day_of_week</th>\n",
+       "      <th>vi_1</th>\n",
+       "      <th>vi_2</th>\n",
+       "      <th>sf_n</th>\n",
+       "      <th>sf_y</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>id2875421</td>\n",
+       "      <td>2016-03-14 17:24:55</td>\n",
+       "      <td>6.122493</td>\n",
+       "      <td>1.498521</td>\n",
+       "      <td>1.735433</td>\n",
+       "      <td>99.970196</td>\n",
+       "      <td>3</td>\n",
+       "      <td>14</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>id2377394</td>\n",
+       "      <td>2016-06-12 00:43:35</td>\n",
+       "      <td>6.498282</td>\n",
+       "      <td>1.805507</td>\n",
+       "      <td>2.430506</td>\n",
+       "      <td>-117.153768</td>\n",
+       "      <td>6</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>id3858529</td>\n",
+       "      <td>2016-01-19 11:35:24</td>\n",
+       "      <td>7.661527</td>\n",
+       "      <td>6.385098</td>\n",
+       "      <td>8.203575</td>\n",
+       "      <td>-159.680165</td>\n",
+       "      <td>1</td>\n",
+       "      <td>19</td>\n",
+       "      <td>11</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>id3504673</td>\n",
+       "      <td>2016-04-06 19:32:31</td>\n",
+       "      <td>6.063785</td>\n",
+       "      <td>1.485498</td>\n",
+       "      <td>1.661331</td>\n",
+       "      <td>-172.737700</td>\n",
+       "      <td>4</td>\n",
+       "      <td>6</td>\n",
+       "      <td>19</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>id2181028</td>\n",
+       "      <td>2016-03-26 13:30:55</td>\n",
+       "      <td>6.077642</td>\n",
+       "      <td>1.188588</td>\n",
+       "      <td>1.199457</td>\n",
+       "      <td>179.473585</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26</td>\n",
+       "      <td>13</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        ride     pickup_datetime  log_trip_duration  distance_haversine  \\\n",
+       "0  id2875421 2016-03-14 17:24:55           6.122493            1.498521   \n",
+       "1  id2377394 2016-06-12 00:43:35           6.498282            1.805507   \n",
+       "2  id3858529 2016-01-19 11:35:24           7.661527            6.385098   \n",
+       "3  id3504673 2016-04-06 19:32:31           6.063785            1.485498   \n",
+       "4  id2181028 2016-03-26 13:30:55           6.077642            1.188588   \n",
+       "\n",
+       "   distance_dummy_manhattan   direction  month  day_of_month  hour  \\\n",
+       "0                  1.735433   99.970196      3            14    17   \n",
+       "1                  2.430506 -117.153768      6            12     0   \n",
+       "2                  8.203575 -159.680165      1            19    11   \n",
+       "3                  1.661331 -172.737700      4             6    19   \n",
+       "4                  1.199457  179.473585      3            26    13   \n",
+       "\n",
+       "   day_of_week  vi_1  vi_2  sf_n  sf_y  \n",
+       "0            0     0     1     1     0  \n",
+       "1            6     1     0     1     0  \n",
+       "2            1     0     1     1     0  \n",
+       "3            2     0     1     1     0  \n",
+       "4            5     0     1     1     0  "
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Feature engineering steps \n",
     "## Referenced from https://www.kaggle.com/karelrv/nyct-from-a-to-z-with-xgboost-tutorial/notebook\n",
@@ -99,22 +247,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "FEAST_CORE_URL = 'localhost:6565'\n",
-    "FEAST_SERVING_URL = 'localhost:6566'\n",
-    "STAGING_LOCATION = 'gs://feast-bucket/staging'"
+    "FEAST_CORE_URL = 'localhost:8433'\n",
+    "FEAST_SERVING_URL = 'localhost:8433'\n",
+    "STAGING_LOCATION = 'gs://bucket/staging'"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {
-    "collapsed": true,
     "scrolled": true
    },
    "outputs": [],
@@ -124,26 +269,224 @@
     "# Initialise client\n",
     "fs = Client(core_url=FEAST_CORE_URL, verbose=True)\n",
     "\n",
-    "serving_ds=Datastore(id='REDIS1')\n",
-    "warehouse_ds=Datastore(id='NOOP')\n",
-    "\n",
     "# Create importer\n",
     "importer = Importer.from_df(df_complete, \n",
-    "                           entity='ride', \n",
-    "                           granularity=Granularity.NONE,\n",
+    "                           entity='ride',\n",
     "                           owner='user@website.com',  \n",
     "                           staging_location=STAGING_LOCATION,\n",
     "                           id_column='ride', \n",
-    "                           timestamp_column='pickup_datetime',\n",
-    "                           serving_store=serving_ds,\n",
-    "                           warehouse_store=warehouse_ds)\n",
+    "                           timestamp_column='pickup_datetime')\n",
     "\n",
     "# Update feature and entity metadata. Ideally you want to update these manually\n",
     "# so that they contain adequate information for the next user\n",
     "importer.entity.description = 'nyc taxi dataset' \n",
     "for feature_id in importer.features:\n",
-    "    importer.features[feature_id].description = 'nyc taxi dataset'\n",
-    "    \n",
+    "    importer.features[feature_id].description = 'nyc taxi dataset'\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Successfully applied entity with name: ride\n",
+      "---\n",
+      "name: ride\n",
+      "description: nyc taxi dataset\n",
+      "\n",
+      "Successfully applied feature with id: ride.log_trip_duration\n",
+      "---\n",
+      "id: ride.log_trip_duration\n",
+      "name: log_trip_duration\n",
+      "owner: user@website.com\n",
+      "description: nyc taxi dataset\n",
+      "valueType: DOUBLE\n",
+      "entity: ride\n",
+      "dataStores: {}\n",
+      "\n",
+      "Successfully applied feature with id: ride.distance_haversine\n",
+      "---\n",
+      "id: ride.distance_haversine\n",
+      "name: distance_haversine\n",
+      "owner: user@website.com\n",
+      "description: nyc taxi dataset\n",
+      "valueType: DOUBLE\n",
+      "entity: ride\n",
+      "dataStores: {}\n",
+      "\n",
+      "Successfully applied feature with id: ride.distance_dummy_manhattan\n",
+      "---\n",
+      "id: ride.distance_dummy_manhattan\n",
+      "name: distance_dummy_manhattan\n",
+      "owner: user@website.com\n",
+      "description: nyc taxi dataset\n",
+      "valueType: DOUBLE\n",
+      "entity: ride\n",
+      "dataStores: {}\n",
+      "\n",
+      "Successfully applied feature with id: ride.direction\n",
+      "---\n",
+      "id: ride.direction\n",
+      "name: direction\n",
+      "owner: user@website.com\n",
+      "description: nyc taxi dataset\n",
+      "valueType: DOUBLE\n",
+      "entity: ride\n",
+      "dataStores: {}\n",
+      "\n",
+      "Successfully applied feature with id: ride.month\n",
+      "---\n",
+      "id: ride.month\n",
+      "name: month\n",
+      "owner: user@website.com\n",
+      "description: nyc taxi dataset\n",
+      "valueType: INT64\n",
+      "entity: ride\n",
+      "dataStores: {}\n",
+      "\n",
+      "Successfully applied feature with id: ride.day_of_month\n",
+      "---\n",
+      "id: ride.day_of_month\n",
+      "name: day_of_month\n",
+      "owner: user@website.com\n",
+      "description: nyc taxi dataset\n",
+      "valueType: INT64\n",
+      "entity: ride\n",
+      "dataStores: {}\n",
+      "\n",
+      "Successfully applied feature with id: ride.hour\n",
+      "---\n",
+      "id: ride.hour\n",
+      "name: hour\n",
+      "owner: user@website.com\n",
+      "description: nyc taxi dataset\n",
+      "valueType: INT64\n",
+      "entity: ride\n",
+      "dataStores: {}\n",
+      "\n",
+      "Successfully applied feature with id: ride.day_of_week\n",
+      "---\n",
+      "id: ride.day_of_week\n",
+      "name: day_of_week\n",
+      "owner: user@website.com\n",
+      "description: nyc taxi dataset\n",
+      "valueType: INT64\n",
+      "entity: ride\n",
+      "dataStores: {}\n",
+      "\n",
+      "Successfully applied feature with id: ride.vi_1\n",
+      "---\n",
+      "id: ride.vi_1\n",
+      "name: vi_1\n",
+      "owner: user@website.com\n",
+      "description: nyc taxi dataset\n",
+      "valueType: INT32\n",
+      "entity: ride\n",
+      "dataStores: {}\n",
+      "\n",
+      "Successfully applied feature with id: ride.vi_2\n",
+      "---\n",
+      "id: ride.vi_2\n",
+      "name: vi_2\n",
+      "owner: user@website.com\n",
+      "description: nyc taxi dataset\n",
+      "valueType: INT32\n",
+      "entity: ride\n",
+      "dataStores: {}\n",
+      "\n",
+      "Successfully applied feature with id: ride.sf_n\n",
+      "---\n",
+      "id: ride.sf_n\n",
+      "name: sf_n\n",
+      "owner: user@website.com\n",
+      "description: nyc taxi dataset\n",
+      "valueType: INT32\n",
+      "entity: ride\n",
+      "dataStores: {}\n",
+      "\n",
+      "Successfully applied feature with id: ride.sf_y\n",
+      "---\n",
+      "id: ride.sf_y\n",
+      "name: sf_y\n",
+      "owner: user@website.com\n",
+      "description: nyc taxi dataset\n",
+      "valueType: INT32\n",
+      "entity: ride\n",
+      "dataStores: {}\n",
+      "\n",
+      "Staging file to remote path gs://feast-temp-bucket/staging/tmp_ride_1556438093320.csv\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/aria/.pyenv/versions/3.6.1/lib/python3.6/site-packages/google/auth/_default.py:66: UserWarning: Your application has authenticated using end user credentials from Google Cloud SDK. We recommend that most server applications use service accounts instead. If your application continues to use end user credentials from Cloud SDK, you might receive a \"quota exceeded\" or \"API not enabled\" error. For more information about service accounts, see https://cloud.google.com/docs/authentication/\n",
+      "  warnings.warn(_CLOUD_SDK_CREDENTIALS_WARNING)\n",
+      "/Users/aria/.pyenv/versions/3.6.1/lib/python3.6/site-packages/google/auth/_default.py:66: UserWarning: Your application has authenticated using end user credentials from Google Cloud SDK. We recommend that most server applications use service accounts instead. If your application continues to use end user credentials from Cloud SDK, you might receive a \"quota exceeded\" or \"API not enabled\" error. For more information about service accounts, see https://cloud.google.com/docs/authentication/\n",
+      "  warnings.warn(_CLOUD_SDK_CREDENTIALS_WARNING)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Submitting job with spec:\n",
+      " type: file.csv\n",
+      "sourceOptions:\n",
+      "  path: gs://feast-temp-bucket/staging/tmp_ride_1556438093320.csv\n",
+      "entities:\n",
+      "- ride\n",
+      "schema:\n",
+      "  entityIdColumn: ride\n",
+      "  fields:\n",
+      "  - name: ride\n",
+      "  - name: pickup_datetime\n",
+      "  - featureId: ride.log_trip_duration\n",
+      "    name: log_trip_duration\n",
+      "  - featureId: ride.distance_haversine\n",
+      "    name: distance_haversine\n",
+      "  - featureId: ride.distance_dummy_manhattan\n",
+      "    name: distance_dummy_manhattan\n",
+      "  - featureId: ride.direction\n",
+      "    name: direction\n",
+      "  - featureId: ride.month\n",
+      "    name: month\n",
+      "  - featureId: ride.day_of_month\n",
+      "    name: day_of_month\n",
+      "  - featureId: ride.hour\n",
+      "    name: hour\n",
+      "  - featureId: ride.day_of_week\n",
+      "    name: day_of_week\n",
+      "  - featureId: ride.vi_1\n",
+      "    name: vi_1\n",
+      "  - featureId: ride.vi_2\n",
+      "    name: vi_2\n",
+      "  - featureId: ride.sf_n\n",
+      "    name: sf_n\n",
+      "  - featureId: ride.sf_y\n",
+      "    name: sf_y\n",
+      "  timestampColumn: pickup_datetime\n",
+      "\n",
+      "Submitted job with id: feastimport1556438121763\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'feastimport1556438121763'"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
     "# Ingest the feature data into the store\n",
     "fs.run(importer, apply_features=True, apply_entity=True)"
    ]
@@ -159,27 +502,198 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "creating training dataset for features: ['ride.log_trip_duration', 'ride.distance_haversine', 'ride.distance_dummy_manhattan', 'ride.direction', 'ride.month', 'ride.day_of_month', 'ride.hour', 'ride.day_of_week', 'ride.vi_1', 'ride.vi_2', 'ride.sf_n', 'ride.sf_y']\n",
+      "created dataset ride_1556438183331_20160601_20160801: the-big-data-staging-007.fs_ride.1556438183331_20160601_20160801\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/aria/.pyenv/versions/3.6.1/lib/python3.6/site-packages/google/auth/_default.py:66: UserWarning: Your application has authenticated using end user credentials from Google Cloud SDK. We recommend that most server applications use service accounts instead. If your application continues to use end user credentials from Cloud SDK, you might receive a \"quota exceeded\" or \"API not enabled\" error. For more information about service accounts, see https://cloud.google.com/docs/authentication/\n",
+      "  warnings.warn(_CLOUD_SDK_CREDENTIALS_WARNING)\n",
+      "/Users/aria/.pyenv/versions/3.6.1/lib/python3.6/site-packages/google/auth/_default.py:66: UserWarning: Your application has authenticated using end user credentials from Google Cloud SDK. We recommend that most server applications use service accounts instead. If your application continues to use end user credentials from Cloud SDK, you might receive a \"quota exceeded\" or \"API not enabled\" error. For more information about service accounts, see https://cloud.google.com/docs/authentication/\n",
+      "  warnings.warn(_CLOUD_SDK_CREDENTIALS_WARNING)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>event_timestamp</th>\n",
+       "      <th>log_trip_duration</th>\n",
+       "      <th>distance_haversine</th>\n",
+       "      <th>distance_dummy_manhattan</th>\n",
+       "      <th>direction</th>\n",
+       "      <th>month</th>\n",
+       "      <th>day_of_month</th>\n",
+       "      <th>hour</th>\n",
+       "      <th>day_of_week</th>\n",
+       "      <th>vi_1</th>\n",
+       "      <th>vi_2</th>\n",
+       "      <th>sf_n</th>\n",
+       "      <th>sf_y</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>id2503542</td>\n",
+       "      <td>2016-06-01 20:17:36 UTC</td>\n",
+       "      <td>6.811244</td>\n",
+       "      <td>3.891984</td>\n",
+       "      <td>5.231572</td>\n",
+       "      <td>-153.084635</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>20</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>id2503542</td>\n",
+       "      <td>2016-06-01 20:17:36 UTC</td>\n",
+       "      <td>6.811244</td>\n",
+       "      <td>3.891984</td>\n",
+       "      <td>5.231572</td>\n",
+       "      <td>-153.084635</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>20</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>id2503542</td>\n",
+       "      <td>2016-06-01 20:17:36 UTC</td>\n",
+       "      <td>6.811244</td>\n",
+       "      <td>3.891984</td>\n",
+       "      <td>5.231572</td>\n",
+       "      <td>-153.084635</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>20</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>id3525804</td>\n",
+       "      <td>2016-06-01 18:56:46 UTC</td>\n",
+       "      <td>6.903747</td>\n",
+       "      <td>3.187360</td>\n",
+       "      <td>4.487209</td>\n",
+       "      <td>39.494376</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>id3525804</td>\n",
+       "      <td>2016-06-01 18:56:46 UTC</td>\n",
+       "      <td>6.903747</td>\n",
+       "      <td>3.187360</td>\n",
+       "      <td>4.487209</td>\n",
+       "      <td>39.494376</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          id          event_timestamp  log_trip_duration  distance_haversine  \\\n",
+       "0  id2503542  2016-06-01 20:17:36 UTC           6.811244            3.891984   \n",
+       "1  id2503542  2016-06-01 20:17:36 UTC           6.811244            3.891984   \n",
+       "2  id2503542  2016-06-01 20:17:36 UTC           6.811244            3.891984   \n",
+       "3  id3525804  2016-06-01 18:56:46 UTC           6.903747            3.187360   \n",
+       "4  id3525804  2016-06-01 18:56:46 UTC           6.903747            3.187360   \n",
+       "\n",
+       "   distance_dummy_manhattan   direction  month  day_of_month  hour  \\\n",
+       "0                  5.231572 -153.084635      6             1    20   \n",
+       "1                  5.231572 -153.084635      6             1    20   \n",
+       "2                  5.231572 -153.084635      6             1    20   \n",
+       "3                  4.487209   39.494376      6             1    18   \n",
+       "4                  4.487209   39.494376      6             1    18   \n",
+       "\n",
+       "   day_of_week  vi_1  vi_2  sf_n  sf_y  \n",
+       "0            2     1     0     1     0  \n",
+       "1            2     1     0     1     0  \n",
+       "2            2     1     0     1     0  \n",
+       "3            2     0     1     1     0  \n",
+       "4            2     0     1     1     0  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Retrieving data: Training\n",
     "\n",
     "feature_set = FeatureSet(entity=\"ride\", \n",
-    "                         features=[\"ride.none.log_trip_duration\", \n",
-    "                                  \"ride.none.distance_haversine\",\n",
-    "                                  \"ride.none.distance_dummy_manhattan\",\n",
-    "                                  \"ride.none.direction\",\n",
-    "                                  \"ride.none.month\",\n",
-    "                                  \"ride.none.day_of_month\",\n",
-    "                                  \"ride.none.hour\",\n",
-    "                                  \"ride.none.day_of_week\",\n",
-    "                                  \"ride.none.vi_1\",\n",
-    "                                  \"ride.none.vi_2\",\n",
-    "                                  \"ride.none.sf_n\",\n",
-    "                                  \"ride.none.sf_y\"])\n",
+    "                         features=[\"ride.log_trip_duration\", \n",
+    "                                  \"ride.distance_haversine\",\n",
+    "                                  \"ride.distance_dummy_manhattan\",\n",
+    "                                  \"ride.direction\",\n",
+    "                                  \"ride.month\",\n",
+    "                                  \"ride.day_of_month\",\n",
+    "                                  \"ride.hour\",\n",
+    "                                  \"ride.day_of_week\",\n",
+    "                                  \"ride.vi_1\",\n",
+    "                                  \"ride.vi_2\",\n",
+    "                                  \"ride.sf_n\",\n",
+    "                                  \"ride.sf_y\"])\n",
     "dataset_info = fs.create_dataset(feature_set, \"2016-06-01\", \"2016-08-01\")\n",
     "dataset = fs.download_dataset_to_df(dataset_info, staging_location=STAGING_LOCATION)\n",
     "\n",
@@ -198,10 +712,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Retrieving data: Serving\n",
@@ -210,24 +722,126 @@
     "fs = Client(serving_url=FEAST_SERVING_URL, verbose=True)\n",
     "\n",
     "feature_set = FeatureSet(entity=\"ride\", \n",
-    "                         features=[\"ride.none.log_trip_duration\", \n",
-    "                                  \"ride.none.distance_haversine\",\n",
-    "                                  \"ride.none.distance_dummy_manhattan\",\n",
-    "                                  \"ride.none.direction\",\n",
-    "                                  \"ride.none.month\",\n",
-    "                                  \"ride.none.day_of_month\",\n",
-    "                                  \"ride.none.hour\",\n",
-    "                                  \"ride.none.day_of_week\",\n",
-    "                                  \"ride.none.vi_1\",\n",
-    "                                  \"ride.none.vi_2\",\n",
-    "                                  \"ride.none.sf_n\",\n",
-    "                                  \"ride.none.sf_y\"])\n",
+    "                         features=[\"ride.log_trip_duration\", \n",
+    "                                  \"ride.distance_haversine\",\n",
+    "                                  \"ride.distance_dummy_manhattan\",\n",
+    "                                  \"ride.direction\",\n",
+    "                                  \"ride.month\",\n",
+    "                                  \"ride.day_of_month\",\n",
+    "                                  \"ride.hour\",\n",
+    "                                  \"ride.day_of_week\",\n",
+    "                                  \"ride.vi_1\",\n",
+    "                                  \"ride.vi_2\",\n",
+    "                                  \"ride.sf_n\",\n",
+    "                                  \"ride.sf_y\"])\n",
     "\n",
     "# retrieve features\n",
-    "feats = fs.get_serving_data(feature_set, entity_keys=[\"id2875421\",\"id1244481\"])\n",
-    "\n",
-    "# Feed data into model\n",
-    "# ..."
+    "serving_data = fs.get_serving_data(feature_set, entity_keys=[\"id2875421\",\"id1244481\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ride</th>\n",
+       "      <th>ride.log_trip_duration</th>\n",
+       "      <th>ride.distance_haversine</th>\n",
+       "      <th>ride.distance_dummy_manhattan</th>\n",
+       "      <th>ride.direction</th>\n",
+       "      <th>ride.month</th>\n",
+       "      <th>ride.day_of_month</th>\n",
+       "      <th>ride.hour</th>\n",
+       "      <th>ride.day_of_week</th>\n",
+       "      <th>ride.vi_1</th>\n",
+       "      <th>ride.vi_2</th>\n",
+       "      <th>ride.sf_n</th>\n",
+       "      <th>ride.sf_y</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>id1244481</td>\n",
+       "      <td>8.084254</td>\n",
+       "      <td>17.988218</td>\n",
+       "      <td>23.770274</td>\n",
+       "      <td>114.118984</td>\n",
+       "      <td>1</td>\n",
+       "      <td>15</td>\n",
+       "      <td>13</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>id2875421</td>\n",
+       "      <td>6.122493</td>\n",
+       "      <td>1.498521</td>\n",
+       "      <td>1.735433</td>\n",
+       "      <td>99.970196</td>\n",
+       "      <td>3</td>\n",
+       "      <td>14</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        ride  ride.log_trip_duration  ride.distance_haversine  \\\n",
+       "0  id1244481                8.084254                17.988218   \n",
+       "1  id2875421                6.122493                 1.498521   \n",
+       "\n",
+       "   ride.distance_dummy_manhattan  ride.direction  ride.month  \\\n",
+       "0                      23.770274      114.118984           1   \n",
+       "1                       1.735433       99.970196           3   \n",
+       "\n",
+       "   ride.day_of_month  ride.hour  ride.day_of_week  ride.vi_1  ride.vi_2  \\\n",
+       "0                 15         13                 4          0          1   \n",
+       "1                 14         17                 0          0          1   \n",
+       "\n",
+       "   ride.sf_n  ride.sf_y  \n",
+       "0          1          0  \n",
+       "1          1          0  "
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "serving_data.head()"
    ]
   }
  ],