Summary

In this chapter, we discussed why the gaps between theory and reality exist, strategies to bridge them, and how to future-proof data stewardship programs.

The reality of data stewardship often diverges from theory due to various factors, such as data quality, volume, change management, and human errors. Bridging these gaps requires transforming theoretical concepts into actionable strategies. This chapter presented various strategies to manage data consistency, improve data quality, handle large data volumes, adapt to changes, and mitigate human errors. It also introduced the concept of data mesh, a decentralized data architecture that can help overcome the challenges of technical debt and technology integration bottlenecks. We then concluded by emphasizing the need to future-proof data stewardship programs. The chapter also provided practical dos and don’ts for data stewardship.

Let’s go to the last chapter together to deep dive into real-life case studies...