From 7e827ff470957b509bd07fd2a22dd35662a3e8ff Mon Sep 17 00:00:00 2001
From: Gilad Shaham <gilads@iguazio.com>
Date: Mon, 21 Dec 2020 09:49:49 +0200
Subject: [PATCH] Update data-ingestion-and-preparation readme to include
 grafana

---
 data-ingestion-and-preparation/README.ipynb | 21 +++++++++++++++++++--
 data-ingestion-and-preparation/README.md    |  7 +++++++
 2 files changed, 26 insertions(+), 2 deletions(-)

diff --git a/data-ingestion-and-preparation/README.ipynb b/data-ingestion-and-preparation/README.ipynb
index b4d02b6e..b9c76069 100644
--- a/data-ingestion-and-preparation/README.ipynb
+++ b/data-ingestion-and-preparation/README.ipynb
@@ -37,7 +37,8 @@
     "- [Accessing Platform NoSQL and TSDB Data Using the Frames Library](#data-ingest-frames)\n",
     "- [Getting Data from AWS S3 Using curl](data-ingest-s3-curl)\n",
     "- [Running Distributed Python with Dask](#data-ingest-dask)\n",
-    "- [Running DataFrames on GPUs using NVIDIA cuDF](#data-ingest-gpu)"
+    "- [Running DataFrames on GPUs using NVIDIA cuDF](#data-ingest-gpu)\n",
+    "- [Creating Dashboards with Grafana](#data-grafana)"
    ]
   },
   {
@@ -553,6 +554,22 @@
     "> **Note:** To use the cuDF library, you need to create a RAPIDS Conda environment.\n",
     "> For more information, see the [**virtual-env**](../virtual-env.ipynb) tutorial."
    ]
+  },
+  {
+   "source": [
+    "<a id=\"data-grafana\"></a>"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "source": [
+    "## Creating Dashboards with Grafana\n",
+    "\n",
+    "You can create a Grafana dashboard programmatically using the Iguazio API. This allows you to define a dashboard that reads from the Iguazio data layer and display tables and charts of this data. The [**grafana-grafwiz example**](grafana-grafwiz.ipynb) demonstrates how to do that."
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
   }
  ],
  "metadata": {
@@ -576,4 +593,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
\ No newline at end of file
diff --git a/data-ingestion-and-preparation/README.md b/data-ingestion-and-preparation/README.md
index b7674ea0..59157065 100644
--- a/data-ingestion-and-preparation/README.md
+++ b/data-ingestion-and-preparation/README.md
@@ -27,6 +27,7 @@ Learn about different methods for ingesting data into the Iguazio Data Science P
 - [Getting Data from AWS S3 Using curl](data-ingest-s3-curl)
 - [Running Distributed Python with Dask](#data-ingest-dask)
 - [Running DataFrames on GPUs using NVIDIA cuDF](#data-ingest-gpu)
+- [Creating Dashboards with Grafana](#data-grafana)
 
 <a id="data-ingest-overview"></a>
 ## Overview
@@ -282,3 +283,9 @@ The [**gpu-cudf-vs-pd**](gpu-cudf-vs-pd.ipynb) tutorial demonstrates how to use
 
 > **Note:** To use the cuDF library, you need to create a RAPIDS Conda environment.
 > For more information, see the [**virtual-env**](../virtual-env.ipynb) tutorial.
+
+<a id="data-grafana"></a>
+
+## Creating Dashboards with Grafana
+
+You can create a Grafana dashboard programmatically using the Iguazio API. This allows you to define a dashboard that reads from the Iguazio data layer and display tables and charts of this data. The [**grafana-grafwiz example**](grafana-grafwiz.ipynb) demonstrates how to do that.