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記事はこちら →Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Databricks data into your Azure SQL instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.
Using CData Sync, you can replicate Databricks data to Azure SQL. To add a replication destination, navigate to the Connections tab.
The Java version requires the Microsoft SQL Server JDBC Driver, which can be downloaded from the Microsoft Download Center. Copy the JDBC driver to the lib folder of your Java Web server to make a connection.
You can configure a connection to Databricks from the Connections tab. To add a connection to your Databricks account, navigate to the Connections tab.
To connect to a Databricks cluster, set the properties as described below.
Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.
CData Sync enables you to control replication with a point-and-click interface and with SQL queries. For each replication you wish to configure, navigate to the Jobs tab and click Add Job. Select the Source and Destination for your replication.
To replicate an entire table, click Add Tables in the Tables section, choose the table(s) you wish to replicate, and click Add Selected Tables.
In the Schedule section, you can schedule a job to run automatically, configuring the job to run after specified intervals ranging from once every 15 minutes to once every month.
Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your Databricks data to Azure SQL.