The Department of Mathematics and Computer Science (DMACS), Sri Sathya Sai Institute of Higher Learning (SSSIHL), successfully conducted an insightful workshop titled “Mastering Data Systems: From PostgreSQL Internals to Distributed Architectures” on February 1, 2025, at the Prasanthi Nilayam Campus.
Objective of the Workshop: The workshop was designed to provide Master of Technology (Computer Science) students with an in-depth understanding of PostgreSQL internals, advanced indexing techniques, query optimization strategies, and distributed database architectures. It aimed to bridge the gap between theoretical knowledge and real-world database management challenges.
Distinguished Speakers: The event featured an esteemed panel of industry experts and academicians who shared their insights and expertise:
- Prof. Ravi Mukkamala – Professor & Chair, Computer Science, Old Dominion University, and Adjunct Faculty, DMACS, SSSIHL
- Mr. Hari Kiran – Founder, OpenSourceDB
- Mr. Suresh Chandra Dash – Senior Solution Architect, Fujitsu
- Mr. R K N Sai Krishna – Senior Staff Software Engineer, Teradata, and Alumnus, DMACS, SSSIHL
Workshop Highlights: The sessions delved into various aspects of modern data systems, including:
- The internal workings of PostgreSQL and its optimization techniques
- Advanced indexing mechanisms to enhance query performance
- Distributed database architectures and their applications in large-scale data processing
The interactive discussions and hands-on demonstrations provided students with practical insights into database management and optimization, preparing them for cutting-edge developments in the field.
Meticulously convened and coordinated by Dr. M S Srinath, Assistant Professor, DMACS, SSSIHL, the workshop, ensured a comprehensive learning experience for the participants.
The esteemed speakers were sincerely appreciated for their invaluable contributions along with the organizers and participants for their enthusiastic involvement. Knowledge-sharing initiatives such as these continue to strengthen the learning community and foster innovation in data systems enriching academic and professional growth.
