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Get the Report →Automated Continuous Azure Data Lake Storage Replication to Amazon Redshift
Use CData Sync for automated, continuous, customizable Azure Data Lake Storage replication to Amazon Redshift.
Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Azure Data Lake Storage data into your Amazon Redshift instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.
Configure Amazon Redshift as a Replication Destination
Using CData Sync, you can replicate Azure Data Lake Storage data to Amazon Redshift. To add a replication destination, navigate to the Connections tab.
- Click Add Connection.
- Select Amazon Redshift as a destination.
- Enter the necessary connection properties. To connect to Amazon Redshift, set the following:
- Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
- Port: Set this to the port of the cluster.
- Database: Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
- User: Set this to the username you want to use to authenticate to the Server.
- Password: Set this to the password you want to use to authenticate to the Server.
You can obtain these values in the AWS Management Console:
- Open the Amazon Redshift console.
- On the Clusters page, click the name of the cluster.
- On the Configuration tab, obtain the properties from the Cluster Database Properties section. The connection property values will be the same as the values set in the ODBC URL.
- Click Test Connection to ensure that the connection is configured properly.
- Click Save Changes.
Configure the Azure Data Lake Storage Connection
You can configure a connection to Azure Data Lake Storage from the Connections tab. To add a connection to your Azure Data Lake Storage account, navigate to the Connections tab.
- Click Add Connection.
- Select a source (Azure Data Lake Storage).
- Configure the connection properties.
Authenticating to a Gen 1 DataLakeStore Account
Gen 1 uses OAuth 2.0 in Azure AD for authentication.
For this, an Active Directory web application is required. You can create one as follows:
To authenticate against a Gen 1 DataLakeStore account, the following properties are required:
- Schema: Set this to ADLSGen1.
- Account: Set this to the name of the account.
- OAuthClientId: Set this to the application Id of the app you created.
- OAuthClientSecret: Set this to the key generated for the app you created.
- TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
- Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.
Authenticating to a Gen 2 DataLakeStore Account
To authenticate against a Gen 2 DataLakeStore account, the following properties are required:
- Schema: Set this to ADLSGen2.
- Account: Set this to the name of the account.
- FileSystem: Set this to the file system which will be used for this account.
- AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
- Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.
- Click Connect to ensure that the connection is configured properly.
- Click Save Changes.
Configure Replication Queries
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.
Replicate Entire Tables
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.
Customize Your Replication
You can use the Columns and Query tabs of a task to customize your replication. The Columns tab allows you to specify which columns to replicate, rename the columns at the destination, and even perform operations on the source data before replicating. The Query tab allows you to add filters, grouping, and sorting to the replication.Schedule Your Replication
In the Schedule section, you can schedule a job to run automatically, configuring the job to run after specified intervals ranging from once every 10 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 Azure Data Lake Storage data to Amazon Redshift.