In this session, you’ll explore a reference architecture that serves as a blueprint for future-proofing your data and analytics environment. Through practical, step-by-step guidance, you’ll learn how to align your technology stack with business objectives — whether you're modernizing an existing architecture or building one from the ground up.
talk-data.com
Speaker
Ramke Ramakrishnan
2
talks
Ramke Ramakrishnan is a results-driven technology leader with broad-based experience in driving data management strategies and delivering excellence through research, innovation, advisory and agility for Technology Professionals. Mr. Ramakrishnan helps IT organizations modernize their data platform and advice on the optimization, best practices and continuous improvements on the architecture, design and deployments of data lakes, data warehouse applications in operational and Analytical databases, data processing frameworks such as Hadoop, Kafka, Spark and specialized databases such as NoSQL and Graph database. He provides technical expertise in a variety of data management principles such as data integration, orchestration, database management, data virtualization, metadata management, data security, data governance and advanced analytics using machine learning and artificial intelligence, thereby enabling technology professionals to build "best in class" analytical applications and data-driven decisions, strategies for management and deployment.
Bio from: gartner-data-analytics-india-2025
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In this session, you’ll explore a Lakehouse architecture which is becoming the cornerstone of modern data management initiatives. Through practical, step-by-step guidance, you’ll gain clarity on the purposes of data zones and the design principles of the Lakehouse architecture.