Data Migration Framework

Original price was: $49.95.Current price is: $44.95.
$49.95

Data Migration Framework: Removing the Tech Debt, by Krupesh Desai

Are you prepared for the inevitable? 

Topics

Chapter 1: Data Migration Framework


Chapter 2: Data Migration Scope

Operational Continuity

Compliance Adherence

Evaluate Your Options

Questions to Ask


Chapter 3: Data Segments

Master Data

Transactional Data

Migrate the Master Data First

Compliance Adherence

Questions to Ask


Chapter 4: People and Technology

We, the People

Awesome Technology

The Right Mix of People and Technology

Mind the Metadata

Questions to Ask


Chapter 5: Business Rules

What is an Iteration?

Mapping = Business Rules

Questions to Ask


Chapter 6: Data Quality

Fit-for-Migration = Good Quality

Continuous Monitoring

Questions to Ask


Chapter 7: Data Integrations

System Integration

Data Extraction

Questions to Ask


Chapter 8: Iteration Goals

Measure, Communicate, and Iterate

Questions to Ask


Chapter 9: Testing Strategy

Data Unit Testing

Data Integrity Testing

Functional Testing

Questions to Ask


Chapter 10: The Go-Live

The Most Critical Step

The Deployment RACI Checklist

Several Checkpoints—Go or No-Go

Questions to Ask


Chapter 11: Post Migration

Active Monitoring

Data Archival

Backfill Paper Trails

Supporting Business Users

Questions to Ask


Chapter 12: The Larger Picture

Opportunity – The Tech-Debt Remover Project

Data as an Asset

Data Driven Culture

Data Governance

Question to Ask

What’s Next for Data Migration?


Chapter:  13: The Question Set

Every enterprise system in use today will eventually become a legacy system. When that moment arrives, the difference between a smooth transition and a catastrophic failure is having a well-defined data migration strategy.

This book is not about just moving data from Point A to Point B. It’s about understanding why legacy system decommissioning is a high-stakes business transformation, not just an IT project. Based on a decade of hands-on experience, real-world case studies, and industry best practices, this book provides a proven 10-component framework to help executives, project managers, and technical teams confidently navigate the complexities of data migration.

Inside, you’ll learn:

  • How to define the right migration scope—and avoid unnecessary costs and risks
  • The role of data quality, governance, and compliance in a successful migration
  • Common pitfalls that derail data migration projects—and how to avoid them
  • Why post-migration monitoring is critical—with real-world lessons from failed projects
  • How to align people, process, and technology for seamless execution

Written in a clear, practical, and experience-driven style, this book delivers actionable insights drawn from real-world data migration projects. Whether you’re an executive making strategic decisions or a technical leader responsible for execution, this guide will help you navigate your next data migration project with clarity, control, and confidence.

Don’t let your legacy system dictate your future. Be prepared. Migrate smart.

About Krupesh

Krupesh Desai is a Certified Data Management Professional (CDMP) Associate, passionate about creating value by solving data-intensive problems. Currently serving as a Data Governance Technical Specialist, Krupesh brings over a decade of experience tackling complex data management challenges across various industries. He commenced as a software engineer working on database recovery and replication solutions, evolving into leadership and consulting roles in data migration, integration, and business intelligence.

Krupesh has successfully led multiple legacy decommissioning projects in the public health sector in New Zealand, delivering robust data migration, integration, and analytics solutions. As a BI Development Lead, Senior BI Consultant, and Data Architect, he has deployed cutting-edge tools and platforms for data warehousing automation, data visualization, and cloud data platforms to drive enterprise-wide transformation. Krupesh is a lifelong learner who believes in simplifying the language of data for decision makers. His research and writing focus on practical ways for effective data strategies.

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