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This section describes how you interact through |
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D s conntype |
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r | true |
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type | sqldatawarehouse |
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- is a scalable data warehouse solution available through Microsoft Azure. For more information, see https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is.
- connections can interact with data stored as managed tables or external tables.
-
Limitations
- Microsoft SQL DW connections connections can use dedicated or serverless SQL pools.
- For more information, see Microsoft SQL Data Warehouse Connections.
Limitations
- connections are available only if you have deployed the onto Azure.
When using the SQL DW read-write connection, the The defined length of a table row cannot exceed 1 MB.
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NOTE: In this release, this connection cannot be created through the APIs. Please create connections of this type through the application. |
Uses
...
of
The
can use
SQL DW for for the following tasks:
- Create datasets by reading from SQL DW tables tables.
Write to SQL DW tables
tables with your job results.Ad-hoc publication of data to SQL DW
.
Before You Begin
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Using
Enable Access: Integration requires the following:
- Installation of the on Microsoft Azure.
- Either ADL or WASB is supported as the base storage layer. For more information, see Set Base Storage Layer.
Read Access: Your SQL DW administrator
administrator must configure read permissions. Your administrator should provide a database for upload to your SQL DW datastore.Write Access: You can write and publish jobs results to SQL DW
.
Secure Access
SQL DW These connections require SSL access.
Storing Data
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in
Your
administrator should provide database access for storing datasets. Users should know where shared data is located and where personal data can be saved without interfering with or confusing other users.
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NOTE: The does not modify source data in SQL DW. Datasets sourced from SQL DW are read without modification from their source locations. |
Reading
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from
You can create a
from a table stored in
SQL DW.
For more information, see Database Browser.
Writing
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to
You can write back data to SQL DW using
using one of the following methods:
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NOTE: Writing and publishing to SQL DW is not supported if Azure AD SSO has been enabled. |
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- No validation is performed for the connection and any required permissions during job execution. So, you can be permitted to launch your job even if you do not have sufficient connectivity or permissions to access the data. The corresponding publish job fails at runtime.
- No data validation is performed during writing and publication to SQL DW. Your job fails if the schema for the varies from the target schema.
- Prior to publication, no validation is performed on whether a target is a table or a view, so the job that was launched fails at runtime.