Azure Data Migration
Checklist
A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to Azure Data faster and with full confidence.
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What Next Pathway's Azure Data Migration Checklist covers
A successful Azure Data migration requires a structured, phase by phase approach across discovery, data extraction, validation, and cutover. Next Pathway's Azure Data Migration Checklist gives your team a practical roadmap for planning workloads, identifying dependencies, optimizing data transfer, and validating migration readiness across the entire Azure migration lifecycle.
Assess Data Scope and Migration Dependencies
Build a complete inventory of databases, objects, and ETL pipelines that need to be migrated. Categorize data by functionality, identify workload dependencies, and evaluate network bandwidth and throughput requirements to define migration priorities and sequencing.
Finalize Migration Strategy and Data Movement
Benchmark extraction approaches and validate migration tools to determine the most effective data transfer strategy. Define activities for historical loads, delta catch up, and final synchronization while planning data validation and integrity checks throughout the migration process.
Validate Azure Readiness and Execute Migration
Select the right Azure storage services based on workload requirements and optimize data transfer using Azure migration services. Establish migration team responsibilities, validate data integrity, and test migration performance before production cutover to reduce risk and improve migration readiness.
1 Billion+
Lines of code translated automatically
160+
Enterprise modernizations completed
80%
Faster time-to-market for AI-ready infrastructure
Latest Azure Synapse Case Study
See how a leading telecommunications provider accelerated data lake modernization with automation.
Read the case study to see how Next Pathway delivered:
Download Azure Synapse Migration Case Study
Discover how a telecommunications company transformed its enterprise data lake for the cloud.
What Industry Analysts Say
Rob Enderle
ENDERLE GROUP
Eric Kavanagh
THE BLOOR GROUP
What an Azure Data Migration Covers
A successful Azure data migration requires a structured approach to assessment, data movement, validation, and production deployment.
Discovery and dependency mapping
Assess source systems, databases, data warehouses, ETL processes, reporting assets, and downstream dependencies to define migration scope, complexity, and business requirements.
Code translation and modernization
Migrate data, schemas, and workloads to Azure while optimizing data architectures for improved scalability, performance, security, and cost efficiency.
Validation and functional parity
Validate migrated data for completeness, accuracy, consistency, and functional parity to ensure business processes continue to operate as expected.
Production cutover planning
Execute a controlled transition to Azure with migration sequencing, testing, governance controls, rollback procedures, and stakeholder sign-off to minimize business disruption.
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Cloud Migration Resources
Teradata to Azure Synapse Cloud Migration Checklist
Fully plan, translate & cut-over to Azure Synapse quickly.
