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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 Amazon Redshift 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 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
Download Case study
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 structured Snowflake migration covers

A successful migration to Snowflake requires a clear plan across four disciplines.

Discovery and dependency mapping

Every code object, ETL pipeline, and data dependency needs to be identified and documented before migration begins. Hidden complexity discovered mid-migration creates delays and risk.

Code translation and modernization

Legacy SQL, stored procedures, and ETL pipelines must be converted into optimized, Snowflake-native workloads. Automated translation eliminates manual rework and ensures full coverage.

Validation and functional parity

Every migrated workload must be validated against the legacy source to confirm data accuracy and functional equivalence before cutover. 100% parity is not optional.

Production cutover planning

Cutover requires a defined plan covering resource allocation, rollback decisions, and business sign-off. Teams that plan cutover from the start move faster and with greater confidence.

Latest Insights on Modernization

Cloud Migration Resources

Snowflake Migration Guide
Snowflake Migration Guide

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

READ CASE STUDY

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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.

READ CASE STUDY

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