Add catalog_and_metadata.ipynb tutorial!

Author: igorborgest

awswrangler/aurora.py

@@ -173,8 +173,6 @@ def load_table(dataframe: pd.DataFrame,
                                            region=region)
                 logger.debug(sql)
                 cursor.execute(sql)
-        connection.commit()
-        logger.debug("Load committed.")
 
         if "mysql" in engine.lower():
             with connection.cursor() as cursor:
@@ -188,6 +186,9 @@ def load_table(dataframe: pd.DataFrame,
                     raise AuroraLoadError(
                         f"Missing files to load. {num_files_loaded} files counted. {num_files + 1} expected.")
 
+        connection.commit()
+        logger.debug("Load committed.")
+
     @staticmethod
     def _parse_path(path):
         path2 = path.replace("s3://", "")

tutorials/_static/glue_catalog_table_boston.png

@@ -4,7 +4,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Athena with nested data types"
+    "# Athena with nested data types\n",
+    "\n",
+    "[AWS Data Wrangler](https://github.com/awslabs/aws-data-wrangler) inherits some deep nested types limitations of [Apache Arrow](https://arrow.apache.org/). A good alternative to overcame it is counting on Athena's help to unnest this complex data types before load it in some Pandas Dataframe.\n",
+    "\n",
+    "This tutotial will expose some useful features for this purpose."
    ]
   },
   {