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Always-on applications rely on automatic failover capabilities and real-time access to data. CData Sync integrates live Amazon S3 data into your mirrored databases, always-on cloud databases, and other databases such as your reporting server: Automatically synchronize with remote Amazon S3 data from Windows.
Using CData Sync, you can replicate data from Amazon S3 to any number of databases, both cloud-based and on-premises. In this example, we use SQLite as the replication destination to demonstrate the process. To add it as a destination, navigate to the Connections tab.
For each destination database:
You are now connected to SQLite 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 S3 from the Connections tab. To add a connection to your Amazon S3 account, navigate to the Connections tab.
To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.
Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.
For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.
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 S3 tables you wish to replicate into SQLite, and click Add Tasks again.
π Choose the account table to replicate (Salesforce is shown).The statement below caches and incrementally updates a table of Amazon S3 data:
REPLICATE ObjectsACL;
You can specify a file containing the replication queries you want to use to update a particular database. Separate the replication statements with semicolons. The following options are useful when replicating multiple Amazon S3 accounts into the same database:
Use a different table prefix in the REPLICATE SELECT statement:
REPLICATE PROD_ObjectsACL SELECT * FROM ObjectsACL;
Alternatively, use a different schema:
REPLICATE PROD.ObjectsACL SELECT * FROM ObjectsACL;
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 S3 data to disparate on-premises, cloud-based, and other databases.
Once all the required configurations are made for the job, select the Amazon S3 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've seen how to replicate and configure multiple jobs to manage the replication of your Amazon S3 data to various on-premises, cloud-based, and other databases, visit our CData Sync page to learn more 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.
Learn more or sign up for a free trial:
CData Sync