Problem Statement

Enterprises running Azure Synapse Dedicated SQL Pools have very rigid scaling possibilities with performance bottlenecks and high fixed costs. Manual tuning and siloed warehouse data also slow down analytics velocity significantly. 

Why It Matters

• Cost: Fixed compute commitments lead to underutilised spend. Over 40% reduction in compute and storage costs.

• Speed: Over 30% faster query execution with elastic scaling.

• Risk: Performance degradation during peak load times affects reporting SLAs.

• Reliability: High concurrency strains dedicated pools.

• Compliance: Siloed data limits governed access across the lake and warehouse.

• Velocity: DBA-heavy operations reduce focus on strategic initiatives.

  
  

What Cloudaeon Delivers

Cloudaeon executes a structured Synapse to Fabric migration aligned to Microsoft Fabric Modernisation principles. 

Schema and T-SQL conversion are automated using Terraform and Fabric pipelines to standardise deployment and reduce error rates. Over TBs of historical data can be ingested through Fabric Data Factory pipelines, with ADLS shortcuts enabling lakehouse access without a single data duplication. Parallel validation of 50+ business-critical queries can benchmark performance before cutover.

Ideal For 

CTOs modernising Azure analytics estates, data Platform & BI Teams, enterprises operating Synapse Dedicated SQL Pools

Pain Signals

• “Our Synapse costs are fixed regardless of usage.”

• “Performance drops during peak reporting.”

• “DBAs spend too much time tuning queries.”

• “We can’t easily combine lake and warehouse data.”

  
  

Conclusion

Collaborating with Cloudaeon in such scenarios demonstrates measurable Boosting Performance through Microsoft Fabric Modernisation, thereby reducing cost, improving concurrency and eliminating operational drag. All while establishing a scalable Lakehouse foundation for future analytics growth.