Hi @Vineet S
Thanks for the question and using MS Q&A platform.
One way to integrate Azure Synapse with Databricks is by using PolyBase data virtualization. PolyBase allows you to create a logical data warehouse where data in Azure Synapse is combined with data from other Azure and on-premises analytical data stores like HDInsight, Azure Cosmos DB, or streaming data flowing into Data Lake Storage from Stream Analytics or Event Hubs. This approach simplifies business user access to data and adds new value to what you already know in your data warehouse.
Here is the document that might be helpful on how to use PolyBase to integrate Azure Synapse with Databricks https://learn.microsoft.com/en-us/azure/databricks/archive/azure/synapse-polybase
Another way to integrate Azure Synapse with Databricks is by using the Azure Synapse Spark connector. This connector enables you to connect to Databricks and transfer large data sets between the Apache Spark runtime and the Dedicated SQL pool. To move data between Databricks and Synapse, you can also use the Azure Synapse Dedicated SQL Pool Connector for Apache Spark.
Reference: https://learn.microsoft.com/en-us/azure/synapse-analytics/spark/synapse-spark-sql-pool-import-export?tabs=scala%2Cscala1%2Cscala2%2Cscala3%2Cscala4%2Cscala5
Also, you can find more information on Databricks integration with Azure Synapse in this video link please refer.
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