#USE VALENTINA STUDIO WITH AMAZON RDS HOW TO#

#USE VALENTINA STUDIO WITH AMAZON RDS HOW TO#

Looking for ways on how to overcome situations like this debouching on an enterprise data analytics solution that could be able to centralize data, improve management and provide unified data models to foster AIРІР‚в„ўs engines, after assessing the environment and gather all the details, we came up with a proposal of solution (please, refer to Figure 1 for an architecture view), which part of it must show itself feasible through a POC. Also, data is spread around different environments, including both public cloud providers and on-prem, which brings the complexity of hybrid data model.Different data sources (Oracle, SQL Server, MySQL/MariaDB, PostgreSQL, MongoDB, and more) make difficult the management of the data itself and makes it harder to implement data centralization.Security control is a huge challenge, as there are lots of different environments and stakeholders (employees and vendorsРІР‚в„ў operators) tied to it.Siloed data, as the applications mentioned on aboveРІР‚в„ўs bullet, barely interact one each other (except by some APIs of integration developed internally).Hundreds of different solutions (both developed internally and bought from external vendors) with each one of those having its database.They have featured the following major limitations on that regard: Nowadays, Americas University is facing a huge problem with their data state, meaning that, theyРІР‚в„ўre looking ahead on marketРІР‚в„ўs tendencies and turns out theyРІР‚в„ўre seeing a couple of areas (among them, personalized learning, pro-active engagement with students geared by AI engines, and more) important for them, but not being able to tackle those out accordingly due to some limitations theyРІР‚в„ўve mapped when it comes to their current data state. WeРІР‚в„ўre going to bring data from an existing AWSРІР‚в„ў RDS database into Azure SQL Databases by leveraging a data integration tool available in Azure called Data Factory. Actually, what weРІР‚в„ўre going to explore in here is only a small part of the entire solution proposed that, in the end, like everything else in the cloud, is comprised of lots of different pieces. This post intends to explore a solution related to a scenario of Proof-Of-Concept (POC) brought by Americas University, a big university in an accelerated journey to the cloud.

Indeed, most of the customers IРІР‚в„ўve been working with after knowing AzureРІР‚в„ўs capabilities for data and analytics want to bring data from their current data provider (regardless it is a public cloud provider, such AWS or an on-prem datacenter) into AzureРІР‚в„ўs services to see how it works. One of the key needs of customers implementing analytics solutions in the cloud is to move data between clouds.

Use valentina studio with amazon rds