updated comments

ecsantana76 · Aug 21, 2020 · b11174d · b11174d
1 parent 76970ea
commit b11174d
Showing 1 changed file with 4 additions and 3 deletions.
diff --git a/04_ingest/05_Query_Data_With_AWS_DataWrangler.ipynb b/04_ingest/05_Query_Data_With_AWS_DataWrangler.ipynb
@@ -4,9 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Query Data with AWS Data Wrangler\n",
-    "* https://github.com/awslabs/aws-data-wrangler\n",
-    "* https://aws-data-wrangler.readthedocs.io"
+    "# Query Data with AWS Data Wrangler"
    ]
   },
   {
@@ -15,6 +13,9 @@
    "source": [
     "**AWS Data Wrangler** is an open-source Python library that extends the power of the Pandas library to AWS connecting DataFrames and AWS data related services (Amazon Redshift, AWS Glue, Amazon Athena, Amazon EMR, Amazon QuickSight, etc).\n",
     "\n",
+    "* https://github.com/awslabs/aws-data-wrangler\n",
+    "* https://aws-data-wrangler.readthedocs.io\n",
+    "\n",
     "Built on top of other open-source projects like Pandas, Apache Arrow, Boto3, s3fs, SQLAlchemy, Psycopg2 and PyMySQL, it offers abstracted functions to execute usual ETL tasks like load/unload data from Data Lakes, Data Warehouses and Databases.\n",
     "\n",
     "_Note that AWS Data Wrangler is simply a Python library that uses existing AWS Services.  AWS Data Wrangler is not a separate AWS Service.  You install AWS Data Wrangler through `pip install` as we will see next._"