Most successful migrations use a phased approach. We typically start with non-critical workloads to prove the architecture, then migrate production systems in waves. This reduces risk, allows teams to learn the new platform gradually, and maintains business continuity. A typical phased migration runs 4-8 months depending on complexity.

We use a proven migration framework with multiple safety mechanisms: parallel running systems during transition, automated data validation checks, row-level checksums to verify integrity, rollback procedures for every migration step, and extensive testing before production cutover. In 15+ migrations, we've maintained 100% data integrity with zero business disruption.

Yes. All modern platforms (Fabric, Databricks, Snowflake) support Power BI connectivity. Microsoft Fabric offers the tightest integration with Direct Lake mode for best performance. Databricks and Snowflake connect via standard SQL endpoints. We ensure all your existing reports, dashboards, and semantic models continue working - often with better performance.

All three migration paths (Databricks, Fabric, Snowflake) can integrate with your existing Azure infrastructure - Azure Data Lake Storage, Key Vault, Active Directory, DevOps, and more. If you choose Fabric, you stay 100% within Azure. Databricks runs natively on Azure. Snowflake can connect to Azure services. We design migrations to leverage, not replace, your Azure investments where it makes sense.

Timeline depends on data volume, workload complexity, and organizational readiness. Our typical ranges: Small-to-medium deployments (< 50TB): 3-5 months. Enterprise deployments (50TB-500TB): 5-8 months. Large-scale migrations (> 500TB): 8-12 months. We use proven frameworks that deliver 3-6 months faster than traditional Big Four consultancies.

Yes - knowledge transfer is included in every engagement. We don't just migrate and leave. Our approach includes hands-on training sessions, documentation of new architecture and processes, pair programming with your data engineers, and post-migration support to ensure your team is confident and self-sufficient. We build capability, not dependency.

Most clients see 30-40% cost reduction in the first year. Modern platforms use consumption-based pricing (pay for what you use) vs. Synapse's provisioned capacity model (pay for what you allocate). They also offer better performance, so you need fewer resources. We provide detailed TCO analysis during planning, comparing your current Synapse costs to projected costs on each platform option.