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Teradata to Azure Synapse Analytics Cloud Migration Checklist

A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to Teradata to Azure Synapse Analytics faster and with full confidence.

Teradata to Azure Synapse Analytics Cloud Migration Checklist (1)
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Teradata to Azure Synapse Analytics

A successful Teradata to Azure Synapse Analytics migration requires a structured approach that aligns business objectives and technical execution. This checklist outlines the key phases enterprises should follow to accelerate migration, reduce complexity, and ensure a smooth transition to Azure Synapse Analytics.

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Assessment and Discovery

Evaluate Teradata workloads, database objects, ETL processes, data dependencies, and downstream integrations. Establish migration priorities, identify potential compatibility challenges, and define the target Azure Synapse Analytics architecture to support future business and analytics requirements.

Database Migration and Translation

Translate database code, migrate data assets, and modernize ETL pipelines where required. Prioritize workloads into migration waves and validate that all business-critical processes are included, ensuring a scalable and efficient Azure Synapse Analytics environment.

Testing

Execute comprehensive testing to validate data accuracy, performance, and operational readiness. Automate validation where possible, engage business stakeholders in acceptance testing, and complete a controlled cutover to minimize disruption and ensure a successful production deployment.

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1 Billion+

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160+

Enterprise modernizations completed

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80%

Faster time-to-market for AI-ready infrastructure

Latest Snowflake Case Study

Next Pathway helped a UK-based asset management leader migrate from Azure Synapse and Azure Data Factory to Snowflake with zero business disruption and 100% automated code translation.

Read the case study to see how Next Pathway delivered:

End-to-end migration completed in just 10 months
100% automated code translation with SHIFT
Seamless compliance and financial reporting throughout cutover
Real-time analytics and AI-ready data on a unified platform
British Asset Management Firm Migrates from Azure Synapse and Azure Data Factory to_Cover

What Industry Analysts Say

Image (Rob Enderle)
Rob Enderle

ENDERLE GROUP

"Next Pathway is providing a solution that accelerates the migration process, giving organizations a faster route to realizing value from their data."
Eric Kavanagh
Eric Kavanagh

THE BLOOR GROUP

"SHIFT Cloud enables a remarkably swift and robust transition from traditional data warehousing to the cloud."

What a Teradata-to-Azure Synapse Analytics migration covers

A successful migration from Teradata to Azure Synapse Analytics requires a structured framework for assessment, code conversion, validation, and production deployment.

Discovery and dependency mapping

Assess Teradata databases, data models, workloads, ETL processes, BI reports, and downstream dependencies to establish a complete migration roadmap and identify potential risks early.

Code translation and modernization

Convert Teradata SQL, BTEQ scripts, stored procedures, and data integration workflows into Azure Synapse–optimized architectures that improve scalability, performance, and maintainability.

Validation and functional parity

Validate migrated data, queries, and analytics workloads to ensure consistency, accuracy, and business continuity throughout the migration process.

Production cutover planning

Execute a controlled transition to Azure Synapse Analytics with workload sequencing, user acceptance testing, rollback planning, and governance controls to minimize operational disruption.

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