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CData Sync is a standalone application that supports a wide range of replication scenarios, including replicating both sandbox and production instances into your database. By replicating Amazon Athena data to a PostgreSQL database in Heroku, you can access Amazon Athena external objects (via Salesforce Connect) alongside standard Salesforce objects.
CData provides the easiest way to access and integrate live data from Amazon Athena. Customers use CData connectivity to:
Users frequently integrate Athena with analytics tools like Tableau, Power BI, and Excel for in-depth analytics from their preferred tools.
To learn more about unique Amazon Athena use cases with CData, check out our blog post: https://www.cdata.com/blog/amazon-athena-use-cases.
For this replication example, you need the following:
Using CData Sync, you can easily replicate data from Amazon Athena data to a PostgreSQL database on Heroku. For this article, you will need an existing PostgreSQL database on Heroku. To add your PostgreSQL database as a replication destination, navigate to the Connections tab.
You are now connected to PostgreSQL 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.You can configure a connection to Amazon Athena from the Connections tab. To add a connection to your Amazon Athena account, navigate to the Connections tab.
To authorize Amazon Athena requests, provide the credentials for an administrator account or for an IAM user with custom permissions: Set to the access key Id. Set to the secret access key.
Note: Though you can connect as the AWS account administrator, it is recommended to use IAM user credentials to access AWS services.
To obtain the credentials for an IAM user, follow the steps below:
To obtain the credentials for your AWS root account, follow the steps below:
If you are using the CData Data Provider for Amazon Athena 2018 from an EC2 Instance and have an IAM Role assigned to the instance, you can use the IAM Role to authenticate. To do so, set to true and leave and empty. The CData Data Provider for Amazon Athena 2018 will automatically obtain your IAM Role credentials and authenticate with them.
In many situations it may be preferable to use an IAM role for authentication instead of the direct security credentials of an AWS root user. An AWS role may be used instead by specifying the . This will cause the CData Data Provider for Amazon Athena 2018 to attempt to retrieve credentials for the specified role. If you are connecting to AWS (instead of already being connected such as on an EC2 instance), you must additionally specify the and of an IAM user to assume the role for. Roles may not be used when specifying the and of an AWS root user.
For users and roles that require Multi-factor Authentication, specify the and connection properties. This will cause the CData Data Provider for Amazon Athena 2018 to submit the MFA credentials in a request to retrieve temporary authentication credentials. Note that the duration of the temporary credentials may be controlled via the (default 3600 seconds).
In addition to the and properties, specify , and . Set to the region where your Amazon Athena data is hosted. Set to a folder in S3 where you would like to store the results of queries.
If is not set in the connection, the data provider connects to the default database set in Amazon Athena.
π Configuring a Source connection (Salesforce is shown).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 Amazon Athena tables you wish to replicate into PostgreSQL, and click Add Tasks again.
π Choose entire tables to replicate (Salesforce is shown).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 with the help of SQL queries.
π Configure a replication.As you make changes using the interface, the SQL query used for the replication changes, going from something simple, like this:
REPLICATE [Customers]
to something customized and more complex, like this:
REPLICATE [Customers] SELECT [Name], [TotalDue] FROM [Customers] WHERE [CustomerId] = 12345
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 Amazon Athena data to PostgreSQL.
Once all the required configurations are made for the job, select the Amazon Athena 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.The Amazon Athena data tables are now replicated in Heroku PostgreSQL database.
Once your Amazon Athena data is replicated to the PostgreSQL database on Heroku, configure the OData interface for Heroku and connect to the database as an external data source via Salesforce Connect.
The first part of connecting to Amazon Athena data replicated to a PostgreSQL database on Heroku is configuring the Heroku External Objects for the database.
Refer to the Heroku documentation for more detailed instructions.
After the OData service for Heroku is configured, we can connect to the replicated Amazon Athena data as an external data source from Salesforce Connect.
After you have created the external data source in Salesforce, follow the steps below to create Amazon Athena external objects that reflect any changes in the data source. You will synchronize the definitions for the Amazon Athena external objects with the definitions for Amazon Athena tables.
At this point, you will be able to connect to and work with your replicated Amazon Athena entities as external objects just as you would with standard Salesforce objects, whether you are simply viewing the data or building related lists of external Amazon Athena data alongside standard Salesforce objects.
Download a 30-day free trial of CData Sync and replicate your Amazon Athena data for use with Salesforce Connect today!
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