If you are following our webinar series on Salesforce data archiving, you must be knowing by now how Big Objects is playing a key role in helping Salesforce enterprise customers solving their complex data storage challenges with achieving 80% & more ROI. If you haven’t registered for our previous webinars, don’t get behind. Please register for this upcoming webinar.
We are back again with our webinar & it’s going to be even more exciting. This time we are taking DataArchiva to the next level and going to talk about storing Salesforce archived data in external storage systems, specifically in the AWS Relational Database System. This is going to be a game-changer for sure.
After coming across multiple use cases where Salesforce enterprise customers wanted to use Amazon RDS as their remote data storage, we extended our flagship solution DataArchiva & introduced DataConnectiva. DataConnectiva can help Salesforce enterprise customers store their archived data in any external Cloud/On-premise storage system. The current package supports various Cloud/On-premise database service platform providers like Amazon, Google, Azure, Heroku including various databases like Postgres, Redshift, MySQL, Oracle, MS SQL, etc. In this webinar, we are specifically going to talk about how to archive your Salesforce data into AWS.
Webinar Key Takeaways
In this 30 minutes session, our Salesforce data archiving experts are going to talk about how DataConnectiva can help you move your archived data from the Salesforce system to AWS RDS securely with a live demo. Among other aspects, we are going to discuss on top enterprise use cases, the architecture of the solution, key security aspects, deployment method, benefits of archiving your Salesforce data into AWS and more importantly how to use Einstein Analytics on the top of the archived data to drive key insights.Webinar Details
DataArchiva is the ONLY Native Data Archiving Solution for Salesforce using Big Objects that help Salesforce application users archive their historical data without losing data integrity.
For more info, please get in touch with us email@example.com