Postgres Conference

About

Shayon Sanyal is a Principal PostgreSQL Specialist Solutions Architect and a Subject Matter Expert for Amazon’s flagship relational database, Amazon Aurora. He brings over 15 years of experience managing relational databases and analytics workloads utilizing PostgreSQL.

Shayon enjoys building robust applications using PostgreSQL, taking advantage of its many features, from complex data types to its ability to stream logical changes. Shayon graduated from Carnegie Mellon University with a M.S. in Information Systems Management.

Shayon Sanyal has presented the following presentations

Enhancing OLTP Systems with pgvector: Best Practices in Database Design at Postgres Conference 2024
Generative AI and PostgreSQL

presented by Sundar Raghavan and Shayon Sanyal

The integration of pgvector into existing Online Transaction Processing (OLTP) systems represents a significant advancement in leveraging vector search capabilities within traditional database environments. This presentation is designed to educate database professionals on the thoughtful integration of pgvector into OLTP applications powered by PostgreSQL, ensuring enhanced functionalities with...

Thu 18 2024 Dev

Using Global database in Amazon Aurora PostgreSQL at Silicon Valley 2022
Using Global database in Amazon Aurora PostgreSQL

presented by Shayon Sanyal and Sukhpreet Bedi

An Amazon Aurora Global database is designed for globally distributed applications, allowing a single Amazon Aurora database to span multiple AWS Regions. It replicates your data with no impact on database performance, enables fast local reads with low latency in each Region, and provides disaster recovery (DR) from Region-wide outages. In this session, learn how to plan for cross-Region DR and...

Fri 8 2022 AWS Data Day

Amazon Aurora Global Database Design Patterns for HA and DR at Silicon Valley 2022
Amazon Aurora Global Database Design Patterns for HA and DR

presented by Shayon Sanyal

Amazon Aurora Global Database is designed for globally distributed applications, allowing a single Amazon Aurora database to span multiple AWS regions. It replicates your data with no impact on database performance, enables fast local reads with low latency in each region, and provides disaster recovery from region-wide outages. In this session, learn about the several use-cases and design patt...