Modified Notebooks according to feedback

notebooks/load-csv-data-s3/notebook.ipynb

@@ -81,7 +81,7 @@
       "id": "2d22fd53-2c18-40e5-bb38-6d8ebc06f1b8",
       "metadata": {},
       "source": [
-        "## Create a database\n",
+        "## Create a database (You can skip this Step if you are using Free Starter Tier)\n",
         "\n",
         "We need to create a database to work with in the following examples."
       ]
@@ -161,6 +161,15 @@
         "START PIPELINE SalesData_Pipeline;"
       ]
     },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "a402a924-5e09-4213-88f6-2723b39ee2aa",
+      "metadata": {},
+      "source": [
+        "### It might take around 1 min to load data from S3 to SingleStore table"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": 4,
@@ -169,7 +178,7 @@
       "outputs": [],
       "source": [
         "%%sql\n",
-        "SELECT * FROM SalesData LIMIT 10"
+        "SELECT count(*) FROM SalesData"
       ]
     },
     {
@@ -296,28 +305,60 @@
       "source": [
         "## Conclusion\n",
         "\n",
-        "<div class=\"alert alert-block alert-warning\">\n",
-        "    <b class=\"fa fa-solid fa-exclamation-circle\"></b>\n",
-        "    <div>\n",
-        "        <p><b>Action Required</b></p>\n",
-        "        <p> If you created a new database in your Standard or Premium Workspace, you can drop the database by running the cell below. Note: this will not drop your database for Free Starter Workspaces. To drop a Free Starter Workspace, terminate the Workspace using the UI. </p>\n",
-        "    </div>\n",
-        "</div>\n",
-        "\n",
         "We have shown how to insert data from a Amazon S3 using `Pipelines` to SingleStoreDB. These techniques should enable you to\n",
         "integrate your Amazon S3 with SingleStoreDB."
       ]
     },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "83b2d1e6-58b8-493e-a698-2fd46e2ac5a1",
+      "metadata": {},
+      "source": [
+        "## Clean up"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "f028e26e-66c0-44dc-9024-221687334301",
+      "metadata": {},
+      "source": [
+        "#### Drop Pipeline"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": 10,
+      "id": "f1f7b94f-2018-464e-9a28-b71cb89d65e3",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "%%sql\n",
+        "STOP PIPELINE SalesData_Pipeline;\n",
+        "\n",
+        "DROP PIPELINE SalesData_Pipeline;"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "33a246bd-36a3-4027-b44d-8c46768ff96d",
+      "metadata": {},
+      "source": [
+        "#### Drop Data"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 11,
       "id": "d5053a52-5579-4fea-9594-5250f6fcc289",
       "metadata": {},
       "outputs": [],
       "source": [
         "shared_tier_check = %sql show variables like 'is_shared_tier'\n",
         "if not shared_tier_check or shared_tier_check[0][1] == 'OFF':\n",
-        "    %sql DROP DATABASE IF EXISTS SalesAnalysis;"
+        "    %sql DROP DATABASE IF EXISTS SalesAnalysis;\n",
+        "else:\n",
+        "    %sql DROP TABLE SalesData;"
       ]
     },
     {

notebooks/load-data-json/meta.toml

@@ -0,0 +1,12 @@
+[meta]
+authors=["chetan-thote"]
+title="Employee Data Analysis JSON Dataset"
+description="""\
+    Employee Data Analysis use case illustrates how to leverage Singlestore's capabilities to process and analyze JSON data from a Amazon S3 data source.
+    """
+difficulty="beginner"
+tags=["starter", "loaddata", "json"]
+lesson_areas=["Ingest"]
+icon="database"
+destinations=["spaces"]
+minimum_tier="free-shared"