Merge pull request #99583 from nibaccam/data-titles

Data | Data article titles for SEO

Author: Jak-MS

articles/machine-learning/service/concept-data.md

@@ -27,16 +27,18 @@ When you're ready to use the data in your storage, we recommend you
         **OR** 
 
     1. Consuming it directly in Azure Machine Learning solutions like automated machine learning (automated ML) experiment runs, machine learning pipelines, and the [Azure Machine Learning designer](concept-designer.md).
-4. Create dataset monitors for your model input and output datasets to detect for data drift. 
-5. If data drift is detected, update your dataset and retrain your model accordingly.
+4. Create dataset monitors for your model output dataset to detect for data drift. 
+5. If data drift is detected, update your input dataset and retrain your model accordingly.
 
 The following diagram provides a visual demonstration of this recommended data access workflow.
 
 ![Data-concept-diagram](media/concept-data/data-concept-diagram.svg)
 
 ## Access data in storage
 
-To access your data in your storage account, Azure Machine Learning offers datastores and datasets. Datastores provide a layer of abstraction over your storage service. This aids in security and ease of access to your storage, since connection information is kept in the datastore and not exposed in scripts. Datasets point to the specific file or files in your underlying storage that you want to use for your machine learning experiment. Together, datastores and datasets offer a secure, scalable, and reproducible data delivery workflow for your machine learning tasks.
+To access your data in your storage account, Azure Machine Learning offers datastores and datasets. Datastores answer the question: how do I securely connect to my data that's in my Azure Storage? Datastores provide a layer of abstraction over your storage service. This aids in security and ease of access to your storage, since connection information is kept in the datastore and not exposed in scripts. 
+
+Datasets answer the question: how do I get specific data files in my datastore? Datasets point to the specific file or files in your underlying storage that you want to use for your machine learning experiment. Together, datastores and datasets offer a secure, scalable, and reproducible data delivery workflow for your machine learning tasks.
 
 ### Datastores
 
@@ -112,4 +114,4 @@ See the [Create a dataset monitor](how-to-monitor-datasets.md) article, to learn
 
 + Create a dataset in Azure Machine Learning studio or with the Python SDK, [use these steps.](how-to-create-register-datasets.md)
 + Try out dataset training examples with our [sample notebooks](https://aka.ms/dataset-tutorial).
-+ For data drift examples, see this [data drift tutorial](https://aka.ms/datadrift-notebook).
++ For data drift examples, see this [data drift tutorial](https://aka.ms/datadrift-notebook).

articles/machine-learning/service/how-to-access-data.md

@@ -1,7 +1,7 @@
 ---
 title: Access data in Azure storage services
 titleSuffix: Azure Machine Learning
-description: Learn how to use datastores to access Azure storage services during training with Azure Machine Learning
+description: Learn how to use datastores to securely connect to Azure storage services during training with Azure Machine Learning
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: core

articles/machine-learning/service/how-to-create-register-datasets.md

@@ -12,6 +12,8 @@ manager: cgronlun
 ms.reviewer: nibaccam
 ms.date: 11/04/2019
 
+# Customer intent: As an experienced data scientist, I need to package my data into a consumable and reusable object to train my machine learning models.
+
 ---
 
 # Create Azure Machine Learning datasets

articles/machine-learning/service/how-to-train-with-datasets.md

@@ -12,6 +12,8 @@ manager: cgronlun
 ms.reviewer: nibaccam
 ms.date: 09/25/2019
 
+# Customer intent: As an experienced Python developer, I need to make my data available to my remote compute to train my machine learning models.
+
 ---
 
 # Train with datasets in Azure Machine Learning

articles/machine-learning/service/toc.yml

@@ -164,14 +164,14 @@
       href: concept-train-model-git-integration.md 
   - name: Work with data
     items:
-    - name: Get data from a datastore
+    - name: Connect to data in Azure Storage
       displayName: blob, get, fileshare, access storage, mount, download
       href: how-to-access-data.md
-    - name: Add & register datasets
-      displayName: data, dataset
+    - name: Get data from a datastore
+      displayName: data, data set, register, access data
       href: how-to-create-register-datasets.md
     - name: Train with datasets
-      displayName: data, dataset
+      displayName: data, dataset, mount
       href: how-to-train-with-datasets.md
     - name: Detect drift on datasets
       displayName: data, dataset