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Connect to Qlik Replicate

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Important

This feature is in Public Preview.

Qlik Replicate helps you pull data from multiple data sources (Oracle, Microsoft SQL Server, SAP, mainframe and more) into Delta Lake. Replicate’s automated change data capture (CDC) helps you avoid the heavy lifting of manually extracting data, transferring using an API script, chopping, staging, and importing. Qlik Compose automates the CDC into Delta Lake.

Note

For information about Qlik Sense, a solution that helps you analyze data in Delta Lake, see Connect to Qlik Sense.

For a general demonstration of Qlik Replicate Replicate, watch the following YouTube video (14 minutes).

For a demonstration of data pipelines with Qlik Replicate Replicate, see the following YouTube video (6 minutes).

Here are the steps for using Qlik Replicate with Azure Databricks.

Step 1: Generate a Databricks personal access token

Qlik Replicate authenticates with Azure Databricks using an Azure Databricks personal access token.

Note

As a security best practice, when you authenticate with automated tools, systems, scripts, and apps, Databricks recommends that you use personal access tokens belonging to service principals instead of workspace users. To create tokens for service principals, see Manage tokens for a service principal.

Step 2: Set up a cluster to support integration needs

Qlik Replicate will write data to an Azure Data Lake Storage path and the Azure Databricks integration cluster will read data from that location. Therefore the integration cluster requires secure access to the Azure Data Lake Storage path.

Secure access to an Azure Data Lake Storage path

To secure access to data in Azure Data Lake Storage (ADLS) you can use an Azure storage account access key (recommended) or a Microsoft Entra ID service principal.

Use an Azure storage account access key

You can configure a storage account access key on the integration cluster as part of the Spark configuration. Ensure that the storage account has access to the ADLS container and file system used for staging data and the ADLS container and file system where you want to write the Delta Lake tables. To configure the integration cluster to use the key, follow the steps in Connect to Azure Data Lake Storage Gen2 and Blob Storage.

Use a Microsoft Entra ID service principal

You can configure a service principal on the Azure Databricks integration cluster as part of the Spark configuration. Ensure that the service principal has access to the ADLS container used for staging data and the ADLS container where you want to write the Delta tables. To configure the integration cluster to use the service principal, follow the steps in Access ADLS Gen2 with service principal.

Specify the cluster configuration

  1. Set Cluster Mode to Standard.

  2. Set Databricks Runtime Version to a Databricks runtime version.

  3. Enable optimized writes and auto compaction by adding the following properties to your Spark configuration:

    spark.databricks.delta.optimizeWrite.enabled true
spark.databricks.delta.autoCompact.enabled true

  4. Configure your cluster depending on your integration and scaling needs.

For cluster configuration details, see Compute configuration reference.

See Get connection details for an Azure Databricks compute resource for the steps to obtain the JDBC URL and HTTP path.

Step 3: Obtain JDBC and ODBC connection details to connect to a cluster

To connect an Azure Databricks cluster to Qlik Replicate you need the following JDBC/ODBC connection properties:

  • JDBC URL
  • HTTP Path

Step 4: Configure Qlik Replicate with Azure Databricks

Go to the Qlik login page and follow the instructions.

Additional resources

Support