data-pipelineing example added (#17)

* data-pipelineing

* added links to other pages

* updated with feedback

* updated with feedback

* updated with feedback

* updated with feedback

Author: tanayvarshney

.vscode/settings.json

@@ -0,0 +1,9 @@
+{
+    "grammarly.selectors": [
+        {
+            "language": "python",
+            "scheme": "file",
+            "pattern": "Feature_Guide/Data_Pipelines/client.py"
+        }
+    ]
+}

Conceptual_Guide/Part_5-Model_Ensembles/README.md

@@ -74,6 +74,8 @@ sequenceDiagram
 ```
 Let's go over how to create a Triton model ensemble.
 
+**Note:** If you are looking for an example to understand how the data flows through the ensemble, [refer this tutorial](../../Feature_Guide/Data_Pipelines/README.md)!
+
 ## Deploy Base Models
 The first step is to deploy the text detection and text recognition models as regular Triton models, just as we've done in the past. For a detailed overview of deploying models to Triton, see [Part 1](../Part_1-model_deployment/README.md) of this tutorial. For convenience, we've included two shell scripts for exporting these models.