Data Engineering & Warehousing
Azure data platform services
Moving SQL workloads to Azure should reduce effort, not add a second platform to manage. We design Azure data platforms and hybrid set-ups that keep cost, security and reliability under control — and integrate cleanly with what stays on-premises.
Discuss your environment
AzureAzure SQL
When teams bring us in
Signs you need Azure Data Platform support
- You're planning a move to Azure but don't know what depends on what
- Part of the estate is in Azure and part on-premises, with no clear integration design
- Cloud costs are rising faster than the value delivered
- Nobody owns monitoring for cloud data pipelines
What's included
Our Azure Data Platform work
- 01
Platform architecture
A target Azure data architecture sized for your workloads, skills and governance needs.
- 02
Hybrid integration
Secure, monitored movement of data between on-premises SQL Server and Azure services.
- 03
Migration planning
Dependency-aware sequencing so workloads move without breaking downstream reports.
- 04
Cost & performance review
Right-sizing and configuration reviews to keep cloud spend proportional to use.
FAQ
Azure Data Platform — common questions
- Do we have to move everything to Azure at once?
- No. Most successful moves are phased. We sequence workloads by dependency and risk so each phase is usable on its own.
- Can you work with our existing Azure subscription and governance?
- Yes. We work within your tenancy, security and governance standards rather than introducing our own.
- How do you control cloud costs?
- By sizing services to actual workload patterns, scheduling compute where possible and reviewing spend against usage after go-live.
Related Dataventra solutions
Guides
- Guide · 7 min readHow to find everything that depends on a SQL Server table before you change itFind views, procedures, SSIS packages and Power BI datasets that depend on a SQL Server table — with sys.dm_sql_referencing_entities, recursive dependency queries and what they miss.
- Guide · 8 min readMonitoring SQL Agent job and SSIS package failures: a practical guideQuery msdb and SSISDB to find failed SQL Agent jobs and SSIS executions, slow runs, missing rows and stale data — and turn the queries into monitoring.
- Guide · 6 min readAutomatically creating Jira tickets for failed SQL Server Agent jobsDetect SQL Agent and SSIS failures, capture diagnostics and create Jira issues through the REST API — with deduplication, routing and secure credentials.
More in Data Engineering & Warehousing
- Data Engineering & WarehousingData EngineeringDesign and build the pipelines that move data from source systems into a platform your business can trust.
- Data Engineering & WarehousingData WarehousingDimensional models and warehouse architecture built for reporting performance and long-term change.
- Data Engineering & WarehousingSQL Server & SSISDeep, hands-on work in SQL Server, SSMS and SSIS — the platforms many enterprises still run on.
Talk to us about Azure Data Platform.
Tell us what you're running and what's getting in the way. We'll suggest a sensible first step.