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DATACON 2026: Start with the Data Estate, Finish with a Unified Platform

Over time, acquisitions, new applications, and technology decisions create a patchwork of databases, platforms, reporting systems, and governance models. The result is higher costs, inconsistent reporting, slower decision-making, and AI initiatives that struggle to deliver meaningful results.

In this DATACON 2026 session, Mehul Joshi, Datavail’s Database Practices leader, shares a practical two-phase approach for reducing fragmentation, modernizing data platforms on Microsoft Azure, and creating a unified, AI-ready foundation with Microsoft Fabric.

What You’ll Learn

  • Why data estates become fragmented and how that impacts governance, reporting, and AI initiatives.
  • The two-phase approach to aligning data platforms on Azure and unifying analytics with Microsoft Fabric.
  • Lessons learned from real-world modernization projects.

Watch “Start with the Data Estate, Finish with a Unified Platform” to learn how organizations are modernizing data platforms, improving governance, and creating a stronger foundation for analytics and AI.

Frequently Asked Questions About Unified Data Estates

Why do data estates become fragmented?

Fragmentation often occurs as organizations implement new applications, acquire companies, adopt new database technologies, and build systems independently over time.

Why does fragmentation create challenges for AI?

AI depends on trusted, consistent, and accessible data. Fragmented platforms often create inconsistent metrics, governance gaps, duplicate information, and reporting discrepancies that limit the value of analytics and AI initiatives.

Why is governance important during modernization?

Governance helps ensure consistent definitions, trusted reporting, security controls, and data quality. Governance should be built into modernization efforts rather than added later.