diff --git a/notebooks/load-csv-data-s3-placeholder/notebook.ipynb b/notebooks/load-csv-data-s3-placeholder/notebook.ipynb
index a6e3ee8..c620851 100644
--- a/notebooks/load-csv-data-s3-placeholder/notebook.ipynb
+++ b/notebooks/load-csv-data-s3-placeholder/notebook.ipynb
@@ -33,6 +33,7 @@
     {
       "attachments": {},
       "cell_type": "markdown",
+      "id": "4b3c156d",
       "metadata": {},
       "source": [
         "<div class=\"alert alert-block alert-warning\">\n",
@@ -42,12 +43,12 @@
         "        <p>Define the <b>URL</b>, <b>REGION</b>, <b>ACCESS_KEY</b>, and <b>SECRET_ACCESS_KEY</b> variables below for integration, replacing the placeholder values with your own.</p>\n",
         "    </div>\n",
         "</div>"
-      ],
-      "id": "4b3c156d"
+      ]
     },
     {
       "cell_type": "code",
       "execution_count": 1,
+      "id": "80939f42",
       "metadata": {},
       "outputs": [],
       "source": [
@@ -55,8 +56,7 @@
         "REGION = 'your-region'\n",
         "ACCESS_KEY = 'access_key_id'\n",
         "SECRET_ACCESS_KEY = 'access_secret_key'"
-      ],
-      "id": "80939f42"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -69,39 +69,39 @@
     {
       "attachments": {},
       "cell_type": "markdown",
+      "id": "85c97bbb",
       "metadata": {},
       "source": [
         "<h3>Pipeline Flow Illustration</h3>"
-      ],
-      "id": "85c97bbb"
+      ]
     },
     {
       "attachments": {},
       "cell_type": "markdown",
+      "id": "7b97f983",
       "metadata": {},
       "source": [
         "<img src=https://singlestoreloaddata.s3.ap-south-1.amazonaws.com/images/LoadDataCSV.png width=\"100%\" hight=\"50%\"/>"
-      ],
-      "id": "7b97f983"
+      ]
     },
     {
       "attachments": {},
       "cell_type": "markdown",
+      "id": "d1ea9458",
       "metadata": {},
       "source": [
         "##  Creating Table in SingleStore\n",
         "\n",
         "Start by creating a table that will hold the data imported from S3."
-      ],
-      "id": "d1ea9458"
+      ]
     },
     {
       "cell_type": "code",
       "execution_count": 2,
+      "id": "66eb1b49",
       "metadata": {},
       "outputs": [],
       "source": [
-        "%%sql\n",
         "%%sql\n",
         "/* Feel free to change table name and schema */\n",
         "\n",
@@ -112,12 +112,12 @@
         "    address TEXT,\n",
         "    created_at TIMESTAMP\n",
         ");"
-      ],
-      "id": "66eb1b49"
+      ]
     },
     {
       "attachments": {},
       "cell_type": "markdown",
+      "id": "3704a19a",
       "metadata": {},
       "source": [
         "## Create a Pipeline to Import Data from S3\n",
@@ -128,25 +128,24 @@
         "You have access to the S3 bucket.\n",
         "Proper IAM roles or access keys are configured in SingleStore.\n",
         "The CSV file has a structure that matches the table schema.</i>"
-      ],
-      "id": "3704a19a"
+      ]
     },
     {
       "attachments": {},
       "cell_type": "markdown",
+      "id": "83a75641",
       "metadata": {},
       "source": [
         "Using these identifiers and keys, execute the following statement."
-      ],
-      "id": "83a75641"
+      ]
     },
     {
       "cell_type": "code",
       "execution_count": 3,
+      "id": "e88495e2",
       "metadata": {},
       "outputs": [],
       "source": [
-        "%%sql\n",
         "%%sql\n",
         "CREATE PIPELINE s3_import_pipeline\n",
         "AS LOAD DATA S3 '{{URL}}'\n",
@@ -157,142 +156,136 @@
         "FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '\\\"'\n",
         "LINES TERMINATED BY '\\n'\n",
         "IGNORE 1 lines;"
-      ],
-      "id": "e88495e2"
+      ]
     },
     {
       "attachments": {},
       "cell_type": "markdown",
+      "id": "08781117",
       "metadata": {},
       "source": [
         "## Start the Pipeline\n",
         "\n",
         "To start the pipeline and begin importing the data from the S3 bucket:"
-      ],
-      "id": "08781117"
+      ]
     },
     {
       "cell_type": "code",
       "execution_count": 4,
+      "id": "adb89dc1",
       "metadata": {},
       "outputs": [],
       "source": [
-        "%%sql\n",
         "%%sql\n",
         "START PIPELINE s3_import_pipeline;"
-      ],
-      "id": "adb89dc1"
+      ]
     },
     {
       "attachments": {},
       "cell_type": "markdown",
+      "id": "15275805",
       "metadata": {},
       "source": [
         "## Select Data from the Table\n",
         "\n",
         "Once the data has been imported, you can run a query to select it:"
-      ],
-      "id": "15275805"
+      ]
     },
     {
       "cell_type": "code",
       "execution_count": 5,
+      "id": "f2855248",
       "metadata": {},
       "outputs": [],
       "source": [
-        "%%sql\n",
         "%%sql\n",
         "SELECT * FROM my_table LIMIT 10;"
-      ],
-      "id": "f2855248"
+      ]
     },
     {
       "attachments": {},
       "cell_type": "markdown",
+      "id": "ea34b089",
       "metadata": {},
       "source": [
         "### Check if all data of the data is loaded"
-      ],
-      "id": "ea34b089"
+      ]
     },
     {
       "cell_type": "code",
       "execution_count": 6,
+      "id": "4e9023e8",
       "metadata": {},
       "outputs": [],
       "source": [
-        "%%sql\n",
         "%%sql\n",
         "SELECT count(*) FROM my_table"
-      ],
-      "id": "4e9023e8"
+      ]
     },
     {
       "attachments": {},
       "cell_type": "markdown",
+      "id": "236cb111",
       "metadata": {},
       "source": [
         "## Conclusion\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."
-      ],
-      "id": "236cb111"
+      ]
     },
     {
       "attachments": {},
       "cell_type": "markdown",
+      "id": "6d195418",
       "metadata": {},
       "source": [
         "## Clean up\n",
         "\n",
         "Remove the '#' to uncomment and execute the queries below to clean up the pipeline and table created."
-      ],
-      "id": "6d195418"
+      ]
     },
     {
       "attachments": {},
       "cell_type": "markdown",
+      "id": "8eafa43e",
       "metadata": {},
       "source": [
         "#### Drop Pipeline"
-      ],
-      "id": "8eafa43e"
+      ]
     },
     {
       "cell_type": "code",
       "execution_count": 7,
+      "id": "451e80c9",
       "metadata": {},
       "outputs": [],
       "source": [
-        "%%sql\n",
         "%%sql\n",
         "#STOP PIPELINE s3_import_pipeline;\n",
         "\n",
         "#DROP PIPELINE s3_import_pipeline;"
-      ],
-      "id": "451e80c9"
+      ]
     },
     {
       "attachments": {},
       "cell_type": "markdown",
+      "id": "ae825668",
       "metadata": {},
       "source": [
         "#### Drop Data"
-      ],
-      "id": "ae825668"
+      ]
     },
     {
       "cell_type": "code",
       "execution_count": 8,
+      "id": "3c4b631d",
       "metadata": {},
       "outputs": [],
       "source": [
-        "%%sql\n",
         "%%sql\n",
         "#DROP TABLE my_table;"
-      ],
-      "id": "3c4b631d"
+      ]
     },
     {
       "id": "89365517",