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Google Cloud Platform
Data Migration Checklist

A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to Google Cloud Platform faster and with full confidence.

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What Next Pathway's Google Cloud Platform Data Migration Checklist covers

A successful Google Cloud Platform Data migration requires a structured, phase by phase approach across discovery, code translation, validation, and cutover. Next Pathway's Google Cloud Platform Data Migration Checklist gives your team a complete roadmap, built on the same automation Next Pathway uses to deliver enterprise migrations end to end.

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Inventory and Migration Planning

Create an inventory of databases, ETL pipelines, and migration objects before execution begins. Identify dependencies, resource constraints, and network requirements to prioritize migration activities efficiently.

Data Migration and Optimization

Define migration activities for historical loads, delta synchronization, and final data movement into Google Cloud Platform. Select the appropriate GCP storage services and optimize data transfer performance for large scale workloads.

Validation and Testing

Execute data validation, integrity checks, and full scale migration testing before production deployment. Validate performance, data quality, and migration accuracy to support a stable cloud transition.

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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 DataStage and DB2 to Google Cloud Case Study

A multinational financial services company accelerated cloud modernization through automated DataStage and DB2 migration to Google Cloud. 

Read the case study to see how Next Pathway delivered:

Automated conversion of IBM DataStage pipelines to PySpark
DB2 workloads migrated to Google BigQuery
Proof of concept validated cloud migration feasibility
Scalable cloud-native architecture built on Google Cloud
Download Case study
A Multinational Financial Services Company Migrates from IBM DataStage & DB2 to Google Cloud Platform

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 Google Cloud Platform Data Migration Covers

A successful migration to Google Cloud Platform (GCP) requires a structured approach to assessment, workload modernization, validation, and production deployment.

Discovery and dependency mapping

Assess source databases, data warehouses, ETL pipelines, applications, reporting assets, and downstream dependencies to define migration scope, complexity, and business requirements.

Data and workload migration

Migrate data, analytics workloads, and integration processes to Google Cloud Platform while optimizing architectures for scalability, performance, security, and cost efficiency.

Validation and functional parity

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

Production cutover planning

Execute a controlled transition to Google Cloud Platform with migration sequencing, testing, governance controls, rollback procedures, and stakeholder sign-off to minimize operational disruption.

Latest Insights on Modernization

Cloud Migration Resources

Snowflake Migration Guide
Snowflake Migration Guide

Implement an end-to-end migration to Snowflake 95% faster.

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11 Essential Roles in Cloud Migration
11 Essential Roles in Cloud Migration

Identify 11 key roles in your cloud migration effort.

READ CASE STUDY

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Teradata to Azure Synapse Cloud Migration Checklist
Teradata to Azure Synapse Cloud Migration Checklist

Fully plan, translate & cut-over to Azure Synapse quickly.

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Start Your Data Modernization

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