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  1. Preface
  2. Introduction to Microsoft Azure Synapse SQL Connector
  3. Connections for Microsoft Azure Synapse SQL
  4. Mappings for Microsoft Azure Synapse SQL
  5. Upgrading to Microsoft Azure Synapse SQL Connector
  6. Migrating a mapping
  7. SQL ELT optimization
  8. Data type reference
  9. Troubleshooting

Microsoft Azure Synapse SQL Connector

Microsoft Azure Synapse SQL Connector

Introduction to Microsoft Azure Synapse SQL Connector

Introduction to
Microsoft Azure Synapse SQL
Connector

You can use
Microsoft Azure Synapse SQL
Connector to read data from or write data to
Microsoft Azure Synapse SQL
.
When you use
Microsoft Azure Synapse SQL
Connector, you can create a
Microsoft Azure Synapse SQL
connection and use the connection in Data Integration mappings and tasks. You can use Microsoft SQL Server or Azure Active Directory authentication to connect to
Microsoft Azure Synapse SQL
.
You can use external tables as
Microsoft Azure Synapse SQL
sources in mappings. You can read data from or write data to
Microsoft Azure Synapse SQL
case-sensitive databases as well. You can create mappings and mapping tasks to read data from or write data to a
Microsoft Azure Synapse SQL
endpoint that resides in a virtual network (VNet).
You can switch mappings to advanced mode to include transformations and functions that enable advanced functionality.
A mapping in advanced mode can run on an advanced cluster hosted on Microsoft Azure, local cluster, or a self-service cluster.
Microsoft Azure Synapse SQL
Connector is optimized for large data sets and can perform better than traditional data integration methods, such as ODBC or JDBC. When you write data to
Microsoft Azure Synapse SQL
, the connector stages data files to Microsoft Azure Storage and uses T-SQL commands with Microsoft Polybase to extract or load relational and non-relational data in parallel.
You can connect to a serverless SQL pool when you read data from
Microsoft Azure Synapse SQL
.

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