Date of Conferral

5-22-2025

Date of Award

May 2025

Degree

Doctor of Information Technology (D.I.T.)

School

Information Systems and Technology

Advisor

Nawaz Khan

Abstract

The exponential growth of big data—characterized by high volume, velocity, and variety—has overwhelmed the capacity of traditional data warehouses, making it difficult to deliver timely and actionable insights. This problem is critical for IT professionals in large organizations, who face the absence of robust, evidence-based migration strategies and rely on efficient data infrastructure to maintain competitive performance and support strategic decision-making. Anchored in the technology-organization-environment (TOE) framework, the purpose of this qualitative pragmatic study was to explore strategies employed by large organizations to migrate data warehouses to data lakehouses. The study involved semistructured interviews with six IT professionals from California-based organizations that migrated to data lakehouses within the past five years. Data were analyzed using the modified van Kaam method and thematic analysis. Three key themes emerged, corresponding to TOE dimensions: (a) technological factors, necessitating scalable infrastructure and seamless system integration; (b) organizational factors, encompassing resource allocation and robust management support; and (c) environmental factors, driven by regulatory compliance and competitive pressures. A key recommendation is for organizations to implement ongoing training programs to equip IT personnel with the skills needed to effectively manage and leverage data lakehouse technologies. The implications for positive social change include the potential for IT leaders to foster innovation by leveraging data-driven insights, benefiting organizational stakeholders and communities through enhanced economic competitiveness and improved access to advanced analytics.

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