Mr. Vinodkumar Reddy Surasani

Modernization of Data Management from traditional on-prem solutions to Cloud-native solutions

Abstract:

In today’s data-driven economy, organizations face the dual challenge of managing massive volumes of data while ensuring its quality, consistency, and accessibility. Cloud modernization of data warehousing platforms, coupled with the evolution of Master Data Management (MDM) solutions, provides a transformative path toward scalable, intelligent, and agile data ecosystems. This paper explores how transitioning from legacy on-premise systems to modern cloud-native platforms such as Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse, and Databricks empowers enterprises to harness real-time analytics, reduce operational costs, and integrate seamlessly with AI/ML workflows. A critical component of successful modernization is the adoption of modern MDM solutions, which unify and govern core business entities such as customers, products, and suppliers. Cloud-based MDM platforms like Informatica Cloud MDM and Reltio enable consistent, high-quality data across systems while supporting global data stewardship, lineage tracking, and compliance with evolving regulations. Key best practices include implementing data catalogs, role-based access control, serverless compute for cost optimization, and enabling self-service analytics for business users. The topic concludes by looking ahead at trends such as zero-ETL frameworks, AI-augmented MDM, and unified data platforms that combine analytics, governance, and master data into a cohesive cloud-native architecture.