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Organizations that have relied on SQL Server Integration Services (SSIS) for years are now facing a modernization crossroads. With the shift toward cloud-native platforms, it is time to evolve beyond
This transformation enables organizations to: Unlock Cloud Scale: Move beyond on-premises limitations with elastic compute and storage. Enable AI & Advanced Analytics: Leverage Spark SQL or PySpark to power real-time analytics and machine learning. Reduce Cost & Complexity: Eliminate legacy infrastructure while consolidating tools and simplifying governance
Our Structured Migration Approach Assess & Document: We begin by documenting your current SSIS packages, data flows, and dependencies. This step provides full visibility into your existing processes and ensures nothing is lost in translation. Using our AI-infused tools, this process takes a friction of time compared to old legacy toolsets
Design the Destination Environment: We collaborate with your team to design the optimal landing zone on Microsoft Fabric or Azure Databricks, aligned with your business priorities and technical skillsets. This includes security, performance, governance, and scalability considerations.
Convert & Modernize: SSIS control flows and dataflows are reengineered into Spark SQL or PySpark, depending on the target environment and team readiness. This is not a lift-and-shift it’s a modernization that unlocks new capabilities.
Validate & Optimize: We rigorously test converted pipelines, ensuring performance, reliability, and accuracy. Our team fine-tunes workloads for cost efficiency and scalability.