Azure Synapse Analytics

Prerequisites

Access credentials
Database name

Connection Properties

The following table describes the fields available when creating a new Azure Synapse Analytics Connection. Create a connection using the information below and these step-by-step instructions.

Field	Required	Description
Access Type	Required	This connection type is Read-Only, Write-Only, or Read-Write.
Connection Name	Required	Input your desired name.
Host	Required	IP or the hostname of the Vertica Server.
Port	Required	Host server port number.
Database Name	Required	Name of the database.
Requires Credentials	Optional	Check this box to create a new credential or select an existing credential.

Credential Properties

The following table describes the fields available when creating a new Azure Synapse Analytics credential.

Field	Required	Description
Credential Name	Required	The name to identify this credential with. This credential will be available as a selection for future use.
Credential Type	Required	This field will automatically populate with `Azure Synapse Analytics`.
User	Required	Azure Synapse Analytics data warehouse username to connect with.
Password	Optional	Azure Synapse Analytics data warehouse password to connect with. Not required if you are connecting to a public database.
Use Azure Active Directory Password	Optional	Azure Active Directory Authentication mechanism that allows connecting to Microsoft Azure SQL Database by using identities in Azure Active Directory. Additional information on Connect to Server.

Read Connector Properties

The following table describes the fields available when creating a new Azure Synapse Analytics Read Connector. Create a new Read Connector using the information below and these step-by-step instructions.

Field	Required	Description
Name	Required	Provide a name for your connector. We recommend using lowercase with underscores in place of spaces.
Description	Optional	Describes the connector. We recommend providing a description if you are ingesting information from the same source multiple times for different reasons.
Table Name	Required	Name of the table being ingested. This can either be supplied manually or selected in Step 2 of Create a Read Connector.
Schema Name	Optional	The name of the schema of the table entered above that you wish to use specifically.
Replication Strategy	Optional	Full Resync, Full Resync in Parallel, Incremental Column, Table Snapshot, or Table Snapshot in Parallel. See Database Reading Strategies for more information.
Data Version	Optional	Assign a Data Version. A change to Data Version results in no longer using data previously ingested by this Connector, and a complete ingest of new data.

Write Connector Properties

The following table describes the fields available when creating a new Azure Synapse Analytics Write Connector. Create a new Write Connector using the information below and these step-by-step instructions.

Field Name	Required	Description
Name	Required	Provide a name for your connector. We recommend using lowercase with underscores in place of spaces.
Description	Optional	Describes the connector. We recommend providing a description if you are ingesting information from the same source multiple times for different reasons.
Upstream	Required	The name of the previous connector the Write Connector will pull data from.
Table Name	Required	The name of the table that will be written to Azure Synapse Analytics.
Write Strategy	Required	The strategy to copy data into Azure Synapse Analytics. The Full Load strategy will replace the entire table's contents each time that the upstream transform has changed. If the upstream data set contains multiple Ascend partitions and not all partitions are expected to change on each update, then the Incremental By Partition strategy allows for Ascend to only update/insert/delete the partitions of the table that have changed in Ascend.
Max Number of Parallel Ascend Partitions	Optional	Ascend can write partitions in parallel. Ex.: If a transform has 2000 partitions and you set the max parallel to 100, Ascend will write partitions 100 at a time.
A SQL Statement for Ascend to Execute Before Writing	Optional	Here, the user has the option to execute a pre-processing script before writing to final table.
A SQL Statement for Ascend to Execute After Writing	Optional	Here, the user has the option to execute a pre-processing script after writing to final table.
Schema Name	Optional	The name of the schema to match.
On Schema Mismatch	Optional	Select what to do if the schema from the upstream component does not match the schema of the table name. Options are as follows: - Skip schema check - Stop and display error - Recreate table - Alter table
Data Version	Optional	Assign a Data Version. A change to Data Version results in no longer using data previously ingested by this Connector, and a complete ingest of new data.