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Oracle to Azure Synapse Analytics
Cloud Migration Checklist

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

Oracle to Azure Synapse Analytics Cloud Migration Checklist
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What Next Pathway's Oracle to Azure Synapse Analytics Cloud Migration Checklist covers

A successful Oracle to Azure Synapse Analytics Cloud migration requires a structured, phase by phase approach across discovery, code translation, validation, and cutover. Next Pathway's Oracle to Azure Synapse Analytics Cloud Migration Checklist provides a practical roadmap built to simplify large scale database modernization projects.

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Assessment & Discovery

Identify Oracle database objects, ETL pipelines, dependencies, and downstream applications that must be migrated to Azure Synapse Analytics. Document compatibility considerations, map data flows, and define the migration scope before execution begins.

Database Migration & Code Translation

Translate Oracle DDLs, views, stored procedures, and scripts into Azure Synapse Analytics compatible code. Address unsupported functions, prioritize migration activities, and validate translated database objects through unit testing and data checks.

Acceptance Testing & Cutover Readiness

Validate migrated database objects and historical data before cloud cutover. Establish a testing strategy, automate test case generation, and streamline issue remediation with structured triage workflows and migration assurance processes.

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1 Billion+

Lines of code translated automatically

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160+

Enterprise modernizations completed

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80%

Faster time-to-market for AI-ready infrastructure

Latest Azure Synapse Migration Case Study

Discover how a public sector organization modernized legacy data platforms with Azure Synapse.

Read the case study to see how Next Pathway delivered:

Automated migration of approximately 400 DataStage jobs
Legacy ETL architecture transformed into a cloud-native ELT framework
Optimized batch processing and data transformation workloads
End-to-end modernization of DataStage and Netezza environments
DOWNLOAD CASE STUDY
A public services and procurement provider migrates from DataStage and Netezza to Azure Synapse

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 an Oracle to Azure Synapse Analytics Cloud Migration Covers

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

Discovery and dependency mapping

Assess Oracle databases, schemas, PL/SQL code, ETL workflows, reporting assets, and data dependencies to establish a comprehensive migration strategy and identify modernization opportunities.

Code translation and modernization

Convert Oracle SQL, PL/SQL procedures, scripts, and data integration processes into Azure Synapse optimized workloads that improve scalability, performance, and operational efficiency.

Validation and functional parity

Validate migrated data, business logic, and analytics workloads to ensure accuracy, consistency, and equivalent functionality across the target environment.

Production cutover planning

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

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