Data Migration Guide

Expert insights and practical strategies for planning, executing, and validating successful data migrations.

What Data Practitioners Wish They Knew Before Their Migrations

Learn from seven data experts as they share real-world lessons on avoiding common data migration pitfalls.

Gleb, CEO of Datafold

How Gleb Mezhanskiy turned a years-long migration failure at Lyft into hard-earned lessons on scope creep, iteration speed, and the future of automation in data engineering.

Ryan, Senior Analytics Engineer at CHOP

How Ryan Hawkins tackled a Netezza migration to Snowflake, solving challenges like tangled dependencies, incremental models, and primary key overhauls.

Jasmin, Staff Data Analyst at Brooklyn Data

Jasmin Tan shares migration insights on tackling legacy systems, custom logic, and ensuring data quality with Redshift and dbt.

Emmanuel, Data Engineer at Brooklyn Data

Lessons from a zero-downtime ETL migration, tackling entity resolution, schema drift, and live database testing to ensure seamless execution.

Fabio, Senior Analytics Engineer at Brooklyn Data

How Fabio Biondolillo tackled undocumented systems, legacy workflows, and phased improvements during his first major data migration.

Alex, Data Architect at Sorcero

Alex Meadows shares insights on lift-and-shift vs. rearchitecting, data quality priorities, and the human factors that can make or break a data migration.

Sandro, Director at Empire Life

How Sandro Palleschi tackled data validation, model redesigns, and incremental rollouts to ensure seamless and efficient data migrations.

Plan Like a Product Launch

Conquer data migrations with a plan for edge cases, dual-system drift, and data validation.

Choose the Right Migration Strategy

Understand the tradeoffs of lift-and-shift vs. rearchitecting to minimize risk and align your migration strategy with team goals.

Automate Code Translation and Validation

Streamline data migrations with automated SQL translation, refactoring, and validation—powered by the Datafold Migration Agent.

Validate and Prove Parity—the Modern Way

Validate with automated cross-database diffing, resolve discrepancies, and build trust with actionable reports for seamless data migrations.

Data Migration Readiness Quiz

Learn if your team is fully prepared for a data migration.