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Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Databricks data into your MySQL instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.
Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.
Using CData Sync, you can replicate Databricks data to MySQL. To add a replication destination, navigate to the Connections tab.
You are now connected to MySQL and can use it as both a source and a destination.
NOTE: You can use the Label feature to add a label for a source or a destination.
π Add a label.In this article, we will demonstrate how to load Databricks data into MySQL and utilize it as a destination.
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.
π Select Source and Destination connections for the replication.To replicate an entire table, navigate to the Task tab in the Job, click Add Tasks, choose the table(s) from the list of Databricks tables you wish to replicate into MySQL, and click Add Tasks again.
π Choose entire tables to replicate (Salesforce is shown).Select the Overview tab in the Job, and click Configure under Schedule. You can schedule a job to run automatically by configuring it to run at specified intervals, ranging from once every 10 minutes to once every month.
π Schedule your job to run automatically.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 MySQL.
Once all the required configurations are made for the job, select the Databricks table you wish to replicate and click Run. After the replication completes successfully, a notification appears, showing the time taken to run the job and the number of rows replicated.
π Run the job.Now that you have seen how to replicate Databricks data into MySQL, visit our CData Sync page to explore more about CData Sync and download a free 30-day trial. Start consolidating your enterprise data today!
As always, our world-class Support Team is ready to answer any questions you may have.
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