Databases · Microsoft SQL Server
Integrate Microsoft SQL Server. Reuse data from established systems.
MSSQL databases often sit behind long-standing business applications. onflAI connects the business requirement to a reviewable configuration, taking the instance, schema and permissions into account.
A CONCRETE EXAMPLE
What your requirement could look like.
“Read approved order data from a SQL Server view and regularly make it available to our reporting system.”
Current reports from the existing system, without unchecked writes to the ERP database.
Planning example, not a customer case study. Execution, scheduling and scope depend on connectivity, approval and plan.
01
Prepare access
- Agree the server or instance, database, schema and port. Firewall rules and the runtime's network route must allow access.
- Check support for SQL authentication or the required identity method. A local Windows sign-in does not establish access in the production environment.
- Plan TLS with a verifiable server certificate. Encryption and deliberately trusting any certificate are not the same thing.
02
Define fields and rules
- Consider approved views as a data contract. Explicitly map keys, decimal precision and Unicode text to the target.
- Agree an appropriate change indicator for incremental transfers. A technical version value is not automatically a readable modification timestamp.
03
Check before production
- Review read load, locking and batch sizes with the database team. A ten-row test is not a load test.
- Write only through approved tables or services. Do not bypass the business logic of an application built on top of the database.
What matters for SQL Server and Azure SQL?
SQL Server and Azure SQL differ in access and authentication depending on the deployment variant. Setup therefore considers your specific variant, the appropriate driver and the execution environment.
Where onflAI helps
You describe the outcome and select the relevant data. AI assists with configuration, mapping and validation. Credentials remain separate and are processed in encrypted form by the platform. After review and human approval, IOnbrix executes the data process, not AI.
A validated configuration does not replace an end-to-end test with your systems. Verify network access, the correct business outcome and error behaviour before production.