We migrate legacy on-premise data warehouses (Teradata, Oracle, Netezza, SQL Server) to modern cloud platforms like Snowflake, BigQuery, and Databricks. Ensure 100% data fidelity, automated SQL conversion, and zero business disruption during cutover.
De-risking complex enterprise data modernization with automated tooling and proven migration playbooks.
Automated scanning of all legacy database schemas, stored procedures, dependent ETL jobs, and user queries to build a prioritized migration wave plan.
Explore Legacy Assessment & Inventory Discovery
Converting proprietary legacy DDL, data types, and index definitions into cloud-native Snowflake, BigQuery, or Databricks schemas.
Explore Automated Schema & DDL Transpilation
Moving terabytes and petabytes of historical data using AWS Snowball, Azure Data Box, or multi-threaded cloud upload pipelines with checksum validation.
Explore High-Volume Historical Data Migration
Translating proprietary PL/SQL, T-SQL, and BTEQ scripts into modern, version-controlled dbt models and ANSI SQL.
Explore Stored Procedure & SQL Dialect Conversion
Row-by-row and column-by-column automated reconciliation comparing source and destination systems to guarantee 100% data accuracy.
Explore Automated Data Reconciliation & Testing
Running source and target systems in parallel to validate business reporting before executing a seamless cutover without business interruption.
Explore Dual-Run Strategy & Zero-Downtime CutoverAutomated transpilers, reconciliation tools, and data transfer engines.
A battle-tested phased migration strategy engineered to eliminate risk.
Cataloging all legacy database assets, reporting dependencies, query frequencies, and data schemas.
Setting up VPC network peering, role-based access control, encryption keys, and warehouse sizing.
Transpiling legacy tables, views, and indexes into cloud-native equivalents with data type optimizations.
Executing secure high-throughput bulk loads of historical data followed by cryptographic validation.
Rewriting legacy stored procedures and SSIS packages into maintainable, version-controlled dbt models.
Executing dual-run verification for 14 to 30 days, re-pointing BI reports, and decommissioning legacy servers.
Guaranteed zero data loss, exact numerical parity, and zero unplanned downtime.
Cryptographic checksum validation ensuring zero lost, corrupted, or altered records during transit.
Dual-run synchronization ensures end-users and operational systems experience zero downtime.
Legacy black-box SQL scripts modernized into clean, documented, version-controlled dbt models.
All data encrypted at rest (AES-256) and in transit (TLS 1.3) meeting SOC 2 and ISO 27001 requirements.
Targeting a significant reduction in hardware maintenance, licensing, and database administrator costs.
Comprehensive reconciliation sign-off documentation certifying data parity for financial auditors.
Migrating an enterprise Teradata warehouse to Snowflake for an insurance provider.
Migrated an 18TB on-premise Teradata database to Snowflake for a general insurance enterprise. Converted 420 legacy BTEQ stored procedures into dbt models, achieving 100% financial data parity and cutting annual infrastructure maintenance costs by 58%.
Over 16+ years and 500+ successful deployments, we have established an engineering reputation in Bangalore for technical rigor, architectural transparency, and zero compromise on code quality.
Every project we engineer is guaranteed to pass rigorous vulnerability scans, mobile responsiveness checks, and automated regression testing prior to production launch.
Kalyan Nagar, Bengaluru — Local Support & Global Standards
Answers to common technical, pricing, and timeline questions regarding our Legacy Data Warehouse Migration Services services.
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