For large enterprises, the move to the Snowflake AI Data Cloud is a strategic necessity to escape the rigid constraints of on-premises environments. Transitioning from legacy systems like Netezza or Teradata involves more than moving data; it is a high-stakes transition of proprietary business logic and complex workloads that have been refined over decades.
Next Pathway's SHIFT Product Platform provides the tactical blueprint to automate this modernization. By combining our deep migration expertise with automated translation of Teradata BTEQ scripts and Netezza-specific SQL, we ensure that you bypass the bottlenecks of traditional services and start your Snowflake journey with a context-rich, AI-ready data estate.
Step 1: Automated Discovery of Legacy Dependencies
The first step in a successful modernization is gaining absolute clarity on the existing technical foundation. Legacy environments are often undocumented, where complex data lineages and inter-connected workloads are difficult to map without the right technology.
Next Pathway's CRAWLER360 performs a deep, AI-driven scan of the legacy environment. It identifies the actual dependencies between ETL pipelines, Stored Procedures, and downstream applications, surfacing hidden complexities before the transition begins. This ensures that your migration strategy is based on facts, allowing you to prioritize the data domains that drive the most value for your AI initiatives.
Step 2: High-Fidelity Translation of Proprietary Logic
Enterprises require more than a simple lift and shift; they need a modernized architecture. To be truly Agent-Ready, the underlying Teradata SQL and Netezza scripts must be transformed into clean, cloud-native code that performs at scale.
Through SHIFT® Cloud, legacy application code and proprietary ETL logic are translated into optimized, Snowflake-native patterns. This automated translation preserves essential business logic while ensuring that the target environment reflects your future strategy rather than reproducing legacy constraints. This process provides the computational flexibility required for real-time AI reasoning.
Step 3: Quantified Trust Through Automated Validation
The final and most critical step is ensuring the integrity of the new foundation. When an autonomous agent makes a high-stakes decision based on your data, you must have the quantified trust that the underlying pipelines are accurate and the logic is consistent with the source.
TESTER automates the validation process by auto-generating test cases that verify data quality and functional parity between the legacy Netezza or Teradata source and the Snowflake target. This rigorous approach provides the architectural assurance needed for a confident production cut-over and long-term AI reliability.
The Path Forward
Modernizing a legacy estate is the definitive act of preparing for the future. By leveraging Next Pathway's SHIFT Product Platform, enterprises liberate their engineering talent from the complexities of code conversion and allow them to focus on building the next generation of value on Snowflake. The result is an estate that is not just moved, but transformed for the age of AI.
Next Pathway is the leading choice for automated cloud migration and modern data transformation. We provide the robust tools and deep expertise required to move large, complex, and legacy workloads to the Snowflake AI Data Cloud quickly, with unmatched performance and accuracy. Backed by a proven track record of more than 160 successful migrations worldwide, our proprietary SHIFT Product Platform consisting of CRAWLER360, SHIFT® Cloud and TESTER, automates the end-to-end path to a successful cloud migration.