Accelerate your migration to Snowflake with Cognizant

Cognizant’s migration approach to Snowflake is built around a comprehensive, automated, and scalable framework designed to accelerate data modernization while minimizing risk and cost. At the core of this strategy is the “X to Snowflake” methodology, which supports migrations from a wide range of legacy platforms—including Teradata, Hadoop, Spark, and SQL Server—into Snowflake’s modern data cloud. 

This approach is powered by Cognizant Ignition™, a suite of AI-driven accelerator tools that automate key aspects of the migration journey such as script conversion, ETL transformation, data validation, and application remediation.

Cognizant employs a Factory Model for migration, which standardizes tasks and outputs, ensuring consistency and efficiency across projects. The process begins with a tool-driven assessment and architecture roadmap, followed by automated data and schema migration, validation, and optimization. The Ignition™ platform supports high-volume migrations with features like bulk mapping, auto scheduling, and real-time dashboards for performance monitoring and issue resolution.

Cognizant supports Snowflake migration through a robust suite of proprietary accelerators under its Ignition™ platform, designed to automate and streamline every phase of the data modernization journey. These accelerators are grouped into specialized suites that address discovery, migration, integration, validation, and optimization needs.

Key accelerators include:
 

• Script Migration Tool: Automates the conversion of legacy database scripts (e.g., Teradata, Oracle, SQL Server) into Snowflake-compatible formats, significantly reducing manual effort and errors.

• ETL Conversion Tool: Transforms legacy ETL workflows into modern equivalents compatible with Snowflake, supporting tools like Informatica and SSIS.

• Data Migration Tool: Handles large-scale data transfers with features like bulk mapping, parallel processing, and auto-scheduling to ensure efficient and reliable migration.

• Data Validation Studio: Ensures data integrity post-migration by validating schema, data quality, and completeness.

• Application Remediation Tool: Updates and adapts applications to work seamlessly with the new Snowflake environment.

• Data Integration Studio: Facilitates seamless data ingestion and transformation from multiple sources into Snowflake.

• Data Quality Tool & Data Scan Tool: Identify and resolve data anomalies, duplicates, and inconsistencies.

• BI Migration & Remediation Tools: Modernize and migrate business intelligence tools and dashboards to align with Snowflake’s architecture.

• Cloud Cost Monitoring Tool: Provides real-time insights into Snowflake usage and cost, enabling proactive optimization.

These accelerators are powered by Agentic AI and designed with low-code/no-code capabilities, enabling faster execution, reduced total cost of ownership, and enhanced governance. Together, they enable up to 90% automation, 70% effort savings, and 40–80% cost reduction in data integration and migration projects.

This approach has enabled Cognizant to deliver large-scale migrations—such as moving 1.8 PB of data and over 50,000 scripts from Teradata to Snowflake—within aggressive timelines, while achieving up to 70–90% automation, 40–80% cost savings, and faster time to market. The platform’s cloud-agnostic design, low-code/no-code tools, and embedded AI capabilities further enhance agility, making it suitable for diverse industries and complex enterprise environments.