diff --git a/_update-notifier-last-checked b/_update-notifier-last-checked
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/superset/viz.py b/superset/viz.py
index 4e39ae2a19f2..d2d9ffaefb6e 100644
--- a/superset/viz.py
+++ b/superset/viz.py
@@ -1076,65 +1076,6 @@ def get_data(self, df: pd.DataFrame) -> VizData:
         }
 
 
-class BigNumberViz(BaseViz):
-
-    """Put emphasis on a single metric with this big number viz"""
-
-    viz_type = "big_number"
-    verbose_name = _("Big Number with Trendline")
-    credits = 'a <a href="https://github.com/airbnb/superset">Superset</a> original'
-    is_timeseries = True
-
-    @deprecated(deprecated_in="3.0")
-    def query_obj(self) -> QueryObjectDict:
-        query_obj = super().query_obj()
-        metric = self.form_data.get("metric")
-        if not metric:
-            raise QueryObjectValidationError(_("Pick a metric!"))
-        query_obj["metrics"] = [self.form_data.get("metric")]
-        self.form_data["metric"] = metric
-        return query_obj
-
-    @deprecated(deprecated_in="3.0")
-    def get_data(self, df: pd.DataFrame) -> VizData:
-        if df.empty:
-            return None
-
-        df = df.pivot_table(
-            index=DTTM_ALIAS,
-            columns=[],
-            values=self.metric_labels,
-            dropna=False,
-            aggfunc=np.min,  # looking for any (only) value, preserving `None`
-        )
-        df = self.apply_rolling(df)
-        df[DTTM_ALIAS] = df.index
-        return super().get_data(df)
-
-
-class BigNumberTotalViz(BaseViz):
-
-    """Put emphasis on a single metric with this big number viz"""
-
-    viz_type = "big_number_total"
-    verbose_name = _("Big Number")
-    credits = 'a <a href="https://github.com/airbnb/superset">Superset</a> original'
-    is_timeseries = False
-
-    @deprecated(deprecated_in="3.0")
-    def query_obj(self) -> QueryObjectDict:
-        query_obj = super().query_obj()
-        metric = self.form_data.get("metric")
-        if not metric:
-            raise QueryObjectValidationError(_("Pick a metric!"))
-        query_obj["metrics"] = [self.form_data.get("metric")]
-        self.form_data["metric"] = metric
-
-        # Limiting rows is not required as only one cell is returned
-        query_obj["row_limit"] = None
-        return query_obj
-
-
 class NVD3TimeSeriesViz(NVD3Viz):
 
     """A rich line chart component with tons of options"""
diff --git a/tests/integration_tests/viz_tests.py b/tests/integration_tests/viz_tests.py
index ac390b3976a0..fb6a56f1a244 100644
--- a/tests/integration_tests/viz_tests.py
+++ b/tests/integration_tests/viz_tests.py
@@ -1311,7 +1311,7 @@ def test_apply_rolling(self):
             data={"y": [1.0, 2.0, 3.0, 4.0]},
         )
         self.assertEqual(
-            viz.BigNumberViz(
+            viz.NVD3TimeSeriesViz(
                 datasource,
                 {
                     "metrics": ["y"],
@@ -1325,7 +1325,7 @@ def test_apply_rolling(self):
             [1.0, 3.0, 6.0, 10.0],
         )
         self.assertEqual(
-            viz.BigNumberViz(
+            viz.NVD3TimeSeriesViz(
                 datasource,
                 {
                     "metrics": ["y"],
@@ -1339,7 +1339,7 @@ def test_apply_rolling(self):
             [1.0, 3.0, 5.0, 7.0],
         )
         self.assertEqual(
-            viz.BigNumberViz(
+            viz.NVD3TimeSeriesViz(
                 datasource,
                 {
                     "metrics": ["y"],
@@ -1361,7 +1361,7 @@ def test_apply_rolling_without_data(self):
             ),
             data={"y": [1.0, 2.0, 3.0, 4.0]},
         )
-        test_viz = viz.BigNumberViz(
+        test_viz = viz.NVD3TimeSeriesViz(
             datasource,
             {
                 "metrics": ["y"],
@@ -1374,34 +1374,6 @@ def test_apply_rolling_without_data(self):
             test_viz.apply_rolling(df)
 
 
-class TestBigNumberViz(SupersetTestCase):
-    def test_get_data(self):
-        datasource = self.get_datasource_mock()
-        df = pd.DataFrame(
-            data={
-                DTTM_ALIAS: pd.to_datetime(
-                    ["2019-01-01", "2019-01-02", "2019-01-05", "2019-01-07"]
-                ),
-                "y": [1.0, 2.0, 3.0, 4.0],
-            }
-        )
-        data = viz.BigNumberViz(datasource, {"metrics": ["y"]}).get_data(df)
-        self.assertEqual(data[2], {DTTM_ALIAS: pd.Timestamp("2019-01-05"), "y": 3})
-
-    def test_get_data_with_none(self):
-        datasource = self.get_datasource_mock()
-        df = pd.DataFrame(
-            data={
-                DTTM_ALIAS: pd.to_datetime(
-                    ["2019-01-01", "2019-01-02", "2019-01-05", "2019-01-07"]
-                ),
-                "y": [1.0, 2.0, None, 4.0],
-            }
-        )
-        data = viz.BigNumberViz(datasource, {"metrics": ["y"]}).get_data(df)
-        assert np.isnan(data[2]["y"])
-
-
 class TestFilterBoxViz(SupersetTestCase):
     def test_get_data(self):
         form_data = {