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Past Webinar

Data Migration

Zero-Trust Data Migration: Ensuring Accuracy, Completeness & Confidence

Cloud transformations promise speed and scale — but trust doesn't come automatically.

  • Wed, Mar 18, 2026
  • 9:00 PM ET · 1 hour
  • Online — Zoom Webinar

About This Session

Cloud transformations promise speed and scale, but trust doesn't come automatically. Most teams learn this the hard way: a 'data migration' is rarely just a migration. It's often a data discovery effort, a governance exercise, a data quality and reconciliation program, an MDM alignment challenge, a transformation initiative, and sometimes even a data retirement project — all rolled into one. That's why you can't simply assume it worked because the pipeline ran. Confidence comes from building validation, auditability, and reconciliation into the program from the very beginning.

Key Takeaways

  • Why transformation programs succeed or fail based on data validation, not platform delivery
  • How migrations naturally expand into discovery, governance, DQ, MDM, and transformation
  • What it means to 'zero-trust' a migration: don't assume outcomes — verify them
  • Where to place audit, reconciliation, and checkpoints across the migration lifecycle
  • Practical ways to create repeatable validation so the business can sign off with confidence

What You'll Learn

  • Why migrations fail without built-in data validation
  • Zero-trust approach to migration verification
  • Audit and reconciliation checkpoints across the lifecycle
  • Handling mapping gaps, schema drift, and business-rule breaks
  • Building repeatable validation for stakeholder sign-off

Registration Closed

  • Wed, Apr 22, 2026
  • 8:00 PM ET · 1 hour
  • Online — Zoom Webinar

Speakers

dutta.

Angsuman Dutta

CTO & Co-Founder, FirstEigen

Angsuman Dutta is the CTO and Co-Founder of FirstEigen. He holds a B.Tech in Engineering from IIT and an MBA from the University of Chicago Booth School of Business. Previously the CEO of Pricchaa and an executive at Infogix, Angsuman leads DataBuck's technical architecture and agentic AI product direction.

steve-sovak

Steve Novak

Data Engineering Practice Lead, Definant

Steve Novak is the Data Engineering Practice Lead at Definant, specializing in enterprise-scale data quality, automated reconciliation, and AI-driven validation frameworks for large-scale cloud migration programs.

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Building Trusted Data Pipelines: Data Matching in Medallion Architecture

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Zero-Trust Data Migration: Ensuring Accuracy, Completeness & Confidence

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Want a Private Walkthrough?

Book a 1:1 session with Seth or Angsuman — tailored to your stack. BigQuery, Snowflake, Databricks, or on-prem.