Merge pull request #72329 from MicrosoftDocs/master

Merge master to live 3:00 AM

Author: ktoliver

articles/cosmos-db/create-sql-api-dotnet.md

@@ -6,7 +6,7 @@ ms.author: orspodek
 ms.reviewer: jasonh
 ms.service: data-explorer
 ms.topic: tutorial
-ms.date: 03/14/2019
+ms.date: 04/07/2019
 
 # Customer intent: I want to ingest data to Azure Data Explorer without one line of code, so that I can explore and analyze my data by using queries.
 ---
@@ -206,12 +206,12 @@ To map the activity logs' data to the table, use the following query:
 
 #### Activity log data update policy
 
-1. Create a [function](/azure/kusto/management/functions) that expands the collection of activity log records so that each value in the collection receives a separate row. Use the [`mvexpand`](/azure/kusto/query/mvexpandoperator) operator:
+1. Create a [function](/azure/kusto/management/functions) that expands the collection of activity log records so that each value in the collection receives a separate row. Use the [`mv-expand`](/azure/kusto/query/mvexpandoperator) operator:
 
     ```kusto
     .create function ActivityLogRecordsExpand() {
         ActivityLogsRawRecords
-        | mvexpand events = Records
+        | mv-expand events = Records
         | project
             Timestamp = todatetime(events["time"]),
             ResourceId = tostring(events["resourceId"]),
@@ -235,11 +235,11 @@ To map the activity logs' data to the table, use the following query:
 
 #### Diagnostic log data update policy
 
-1. Create a [function](/azure/kusto/management/functions) that expands the collection of diagnostic log records so that each value in the collection receives a separate row. Use the [`mvexpand`](/azure/kusto/query/mvexpandoperator) operator:
+1. Create a [function](/azure/kusto/management/functions) that expands the collection of diagnostic log records so that each value in the collection receives a separate row. Use the [`mv-expand`](/azure/kusto/query/mvexpandoperator) operator:
      ```kusto
     .create function DiagnosticLogRecordsExpand() {
         DiagnosticLogsRawRecords
-        | mvexpand events = Records
+        | mv-expand events = Records
         | project
             Timestamp = todatetime(events["time"]),
             ResourceId = tostring(events["resourceId"]),

articles/cosmos-db/media/create-sql-api-dotnet/azure-comosdb-todo-app-list.png

@@ -6,7 +6,7 @@ ms.author: orspodek
 ms.reviewer: mblythe
 ms.service: data-explorer
 ms.topic: conceptual
-ms.date: 10/30/2018
+ms.date: 04/07/2019
 ---
 
 # Time series analysis in Azure Data Explorer
@@ -132,7 +132,7 @@ demo_series3
 ```kusto
 demo_series3
 | project (periods, scores) = series_periods_detect(num, 0., 14d/2h, 2) //to detect the periods in the time series
-| mvexpand periods, scores
+| mv-expand periods, scores
 | extend days=2h*todouble(periods)/1d
 ```
 

articles/cosmos-db/media/create-sql-api-dotnet/azure-cosmosdb-data-explorer-dotnet.png

@@ -6,7 +6,7 @@ ms.author: orspodek
 ms.reviewer: mblythe
 ms.service: data-explorer
 ms.topic: conceptual
-ms.date: 09/24/2018
+ms.date: 04/07/2019
 ---
 
 # Write queries for Azure Data Explorer
@@ -364,7 +364,7 @@ The following query returns data for the last 12 hours.
 //The first two lines generate sample data, and the last line uses
 //the ago() operator to get records for last 12 hours.
 print TimeStamp= range(now(-5d), now(), 1h), SomeCounter = range(1,121)
-| mvexpand TimeStamp, SomeCounter
+| mv-expand TimeStamp, SomeCounter
 | where TimeStamp > ago(12h)
 ```
 
@@ -614,12 +614,12 @@ StormEvents
 | project State, FloodReports
 ```
 
-### mvexpand
+### mv-expand
 
-[**mvexpand**](https://docs.microsoft.com/azure/kusto/query/mvexpandoperator):
+[**mv-expand**](https://docs.microsoft.com/azure/kusto/query/mvexpandoperator):
 Expands multi-value collection(s) from a dynamic-typed column so that each value in the collection gets a separate row. All the other columns in an expanded row are duplicated. It's the opposite of makelist.
 
-The following query generates sample data by creating a set and then using it to demonstrate the **mvexpand** capabilities.
+The following query generates sample data by creating a set and then using it to demonstrate the **mv-expand** capabilities.
 
 **\[**[**Click to run query**](https://dataexplorer.azure.com/clusters/help/databases/Samples?query=H4sIAAAAAAAEAFWOQQ6CQAxF9yTcoWGliTcws1MPIFygyk9EKTPpVBTj4Z2BjSz%2f738v7WF06r1vD2xcp%2bCoNq9yHDFYLIsvvW5Q0JybKYCco2omqnyNTxHW7oPFckbwajFZhB%2bIsE1trNZ0gi1dpuRmQ%2baC%2bjuuthS7Fbwvi%2f%2bP8lpGvAMP7Wr3A6BceSu7AAAA)**\]**
 
@@ -629,7 +629,7 @@ let FloodDataSet = StormEvents
 | summarize FloodReports = makeset(StartTime) by State
 | project State, FloodReports;
 FloodDataSet
-| mvexpand FloodReports
+| mv-expand FloodReports
 ```
 
 ### percentiles()
@@ -730,7 +730,7 @@ StormEvents
 | extend row_number = row_number()
 ```
 
-The row set is also considered as serialized if it's a result of: **sort**, **top**, or **range** operators, optionally followed by **project**, **project-away**, **extend**, **where**, **parse**, **mvexpand**, or **take** operators.
+The row set is also considered as serialized if it's a result of: **sort**, **top**, or **range** operators, optionally followed by **project**, **project-away**, **extend**, **where**, **parse**, **mv-expand**, or **take** operators.
 
 **\[**[**Click to run query**](https://dataexplorer.azure.com/clusters/help/databases/Samples?query=H4sIAAAAAAAEAAsuyS%2fKdS1LzSsp5uWqUSguzc1NLMqsSlVIzi%2fNK9HQVEiqVAguSSxJBcvmF5XABRQSi5NBgqkVJal5KQpF%2beXxeaW5SalFCrZIHA1NAEGimf5iAAAA)**\]**
 
@@ -807,7 +807,7 @@ range _day from _start to _end step 1d
 | extend d = tolong((_day - _start)/1d)
 | extend r = rand()+1
 | extend _users=range(tolong(d*50*r), tolong(d*50*r+100*r-1), 1)
-| mvexpand id=_users to typeof(long) limit 1000000
+| mv-expand id=_users to typeof(long) limit 1000000
 // Calculate DAU/WAU ratio
 | evaluate activity_engagement(['id'], _day, _start, _end, 1d, 7d)
 | project _day, Dau_Wau=activity_ratio*100
@@ -834,7 +834,7 @@ range _day from _start to _end step 1d
 | extend d = tolong((_day - _start)/1d)
 | extend r = rand()+1
 | extend _users=range(tolong(d*50*r), tolong(d*50*r+200*r-1), 1)
-| mvexpand id=_users to typeof(long) limit 1000000
+| mv-expand id=_users to typeof(long) limit 1000000
 | where _day > datetime(2017-01-02)
 | project _day, id
 // Calculate weekly retention rate
@@ -860,7 +860,7 @@ range Day from _start to _end step 1d
 | extend d = tolong((Day - _start)/1d)
 | extend r = rand()+1
 | extend _users=range(tolong(d*50*r), tolong(d*50*r+200*r-1), 1)
-| mvexpand id=_users to typeof(long) limit 1000000
+| mv-expand id=_users to typeof(long) limit 1000000
 // Take only the first week cohort (last parameter)
 | evaluate new_activity_metrics(['id'], Day, _start, _end, 7d, _start)
 | project from_Day, to_Day, retention_rate, churn_rate

articles/cosmos-db/media/create-sql-api-dotnet/keys.png

@@ -3,7 +3,7 @@ title: Integration runtime in Azure Data Factory | Microsoft Docs
 description: 'Learn about integration runtime in Azure Data Factory.'
 services: data-factory
 documentationcenter: ''
-author: linda33wj
+author: nabhishek
 manager: craigg
 ms.reviewer: douglasl
 
@@ -13,7 +13,7 @@ ms.tgt_pltfrm: na
 
 ms.topic: conceptual
 ms.date: 06/14/2018
-ms.author: jingwang
+ms.author: abnarain
 
 ---
 

articles/data-explorer/ingest-data-no-code.md

@@ -100,7 +100,7 @@ To use service principal authentication, follow these steps:
     - **As sink**, in Storage Explorer, grant at least **Write + Execute** permission to create child items in the folder. Alternatively, in Access control (IAM), grant at least **Storage Blob Data Contributor** role.
 
 >[!NOTE]
->To list folders starting from the account level, you need to set the permission of the service principal being granted to **storage account with "Execute" permission** or permission on IAM. This is true when you use the:
+>To list folders starting from the account level or to test connection, you need to set the permission of the service principal being granted to **storage account with "Execute" permission in IAM**. This is true when you use the:
 >- **Copy Data Tool** to author copy pipeline.
 >- **Data Factory UI** to test connection and navigating folders during authoring. 
 >If you have concern on granting permission at account level, you can skip test connection and input path manually during authoring. Copy activity will still work as long as the service principal is granted with proper permission at the files to be copied.
@@ -154,7 +154,7 @@ To use managed identities for Azure resources authentication, follow these steps
     - **As sink**, in Storage Explorer, grant at least **Write + Execute** permission to create child items in the folder. Alternatively, in Access control (IAM), grant at least **Storage Blob Data Contributor** role.
 
 >[!NOTE]
->To list folders starting from the account level, you need to set the permission of the managed identity being granted to **storage account with "Execute" permission** or permission on IAM. This is true when you use the:
+>To list folders starting from the account level or to test connection, you need to set the permission of the managed identity being granted to **storage account with "Execute" permission in IAM**. This is true when you use the:
 >- **Copy Data Tool** to author copy pipeline.
 >- **Data Factory UI** to test connection and navigating folders during authoring. 
 >If you have concern on granting permission at account level, you can skip test connection and input path manually during authoring. Copy activity will still work as long as the managed identity is granted with proper permission at the files to be copied.

articles/data-explorer/time-series-analysis.md

@@ -3,7 +3,7 @@ title: Fault tolerance of copy activity in Azure Data Factory | Microsoft Docs
 description: 'Learn about how to add fault tolerance to copy activity in Azure Data Factory by skipping the incompatible rows.'
 services: data-factory
 documentationcenter: ''
-author: linda33wj
+author: dearandyxu
 manager: craigg
 ms.reviewer: douglasl
 
@@ -13,7 +13,7 @@ ms.tgt_pltfrm: na
 
 ms.topic: conceptual
 ms.date: 10/26/2018
-ms.author: jingwang
+ms.author: yexu
 
 ---
 #  Fault tolerance of copy activity in Azure Data Factory