Data you can trust
Data Platform Support
Support for SQL Server, Azure SQL and Fabric: performance, backups and data quality.
Overview
We keep the data layer fast, backed up and understood, so reports and integrations can be trusted. That means tuning queries, watching storage and jobs, and fixing the pipeline before anyone downstream notices.
Built with
- Azure SQL Database
- SQL Server
- Microsoft Fabric
- Azure Data Factory
- Power BI
Typical work includes index and query tuning, backup and restore testing, job and pipeline monitoring in Azure Data Factory or Fabric, and checks on the integrations that move data between systems. We keep a data dictionary of the key tables and who consumes them.
We agree a maintenance window for anything with risk, and hand over the scripts, schedules and documentation as part of the service. If you bring the platform in-house later, the runbooks come with it.
Why it matters
Decisions made on stale or duplicated data cost more than the platform itself. Someone tuning, backing up and monitoring the data layer keeps the numbers reliable and the reports worth reading.
What we deliver
What you get.
- SQL Server and Azure SQL tuning
- Backup, restore and retention checks
- Pipeline and job monitoring
- Data dictionary and ownership map
Questions, answered.
Usually yes. We profile the queries behind the report, tune the indexes and the model, and only propose a rebuild when the design itself is the problem.
Both. We support SQL Server and Azure SQL, and the Fabric workloads built on them, including pipelines, lakehouses and semantic models.
We triage against the runbook, restore or fail over where needed, and follow up with a written summary of the cause and the change that prevents a repeat.
Next solution