Merge pull request #91512 from KingdomOfEnds/tsi-ga-refresh

removed blotches from images

Author: v-albemi

articles/time-series-insights/media/time-series-insights-explorer/explorer1.png

@@ -9,7 +9,7 @@ manager: cshankar
 ms.reviewer: jasonh, kfile
 ms.workload: big-data
 ms.topic: conceptual
-ms.date: 08/28/2019
+ms.date: 10/10/2019
 ms.custom: seodec18
 ---
 
@@ -31,13 +31,13 @@ Reference data is not joined retroactively. Thus, only current and future ingres
 
 1. Sign in to the [Azure portal](https://portal.azure.com).
 
-1. Locate your existing Time Series Insights environment. Select **All resources** in the menu on the left side of the Azure portal. Select your Time Series Insights environment.
+1. Locate your existing Azure Time Series Insights environment. Select **All resources** in the menu on the left side of the Azure portal. Select your Time Series Insights environment.
 
 1. Select the **Overview** page. Locate the **Time Series Insights explorer URL** and open the link.  
 
-   View the explorer for your TSI environment.
+   View the explorer for your Time Series Insights environment.
 
-1. Expand the environment selector in the TSI explorer. Choose the active environment. Select the reference data icon on the upper right in the explorer page.
+1. Expand the environment selector in the Time Series Insights explorer. Choose the active environment. Select the reference data icon on the upper right in the explorer page.
 
    [![Add reference data](media/add-reference-data-set/add-reference-data.png)](media/add-reference-data-set/add-reference-data.png#lightbox)
 
@@ -46,12 +46,14 @@ Reference data is not joined retroactively. Thus, only current and future ingres
    [![Add data set](media/add-reference-data-set/add-data-set.png)](media/add-reference-data-set/add-data-set.png#lightbox)
 
 1. On the **New reference data set** page, choose the format of the data:
+
    - Choose **CSV** for comma-delimited data. The first row is treated as a header row.
-   - Choose **JSON Array** for javascript object notation (JSON) formatted data.
+   - Choose **JSON Array** for JavaScript object notation (JSON) formatted data.
 
    [![Choose data format.](media/add-reference-data-set/add-data.png)](media/add-reference-data-set/add-data.png#lightbox)
 
 1. Provide the data, using one of the two methods:
+
    - Paste the data into the text editor. Then, select **Parse reference data** button.
    - Select **Choose File** button to add data from a local text file.
 

articles/time-series-insights/media/time-series-insights-explorer/explorer2.png

@@ -121,4 +121,5 @@ Now you've seen the various features and options that are available within the T
 ## Next steps
 
 - Learn how to [diagnose and solve problems](time-series-insights-diagnose-and-solve-problems.md) in your Time Series Insights environment.
+
 - Take the guided [Azure Time Series Insights quickstart](time-series-quickstart.md) tour.

articles/time-series-insights/media/time-series-insights-explorer/explorer4.png

@@ -9,15 +9,15 @@ manager: cshankar
 ms.reviewer: v-mamcge, jasonh, kfile
 ms.workload: big-data
 ms.topic: overview
-ms.date: 09/24/2019
+ms.date: 10/10/2019
 ms.custom: seodec18
 ---
 
 # What is Azure Time Series Insights?
 
 Azure Time Series Insights is built to store, visualize, and query large amounts of time series data, such as that generated by IoT devices. If you want to store, manage, query, or visualize time series data in the cloud, Time Series Insights is likely right for you. 
 
-![Time Series Insights flowchart](media/overview/time-series-insights-flowchart.png)
+[![Time Series Insights flowchart](media/overview/time-series-insights-flowchart.png)](media/overview/time-series-insights-flowchart.png#lightbox)
 
 Time Series Insights has four key jobs: