Renaissance Reinsurance is one of the most innovative organisations in the reinsurance industry.
It recently replaced its legacy data infrastructure, built on a traditional database architecture, with Dremio's lightning-fast data lakehouse, business-friendly semantic layer, and federation to deliver a modern unified analytics platform in the cloud.
The new platform uses an S3 data lake as its centre of gravity, enabling RenRe to overcome the bottlenecks of traditional databases.
In a relaxed evening of drinks hosted by Dremio on 16th October, RenRe will be exploring how it implemented a combination of Dremio and S3 to reduce time to insight from hours to minutes and provide their users with a high-performance self-service platform using data mesh principles.
Alex Simmonds, AVP, of Data Innovation & Enablement at RennainceRe, will explain how, on Day 1, the company was able to connect all their data to Dremio and then very rapidly begin the process of offloading data to S3 to meet the demand of their most complex use cases, such as Actuals vs. Expected and Exposure Management.
Alex will also explain how RenRe transformed their data infrastructure with Dremio’s universal semantic layer, addressing key pain points for data teams:
- Eliminating Bottlenecks: Day 1 makes all the data available via a unified access layer and eliminates duplication of business logic.
- Accelerating Insights: Streamline data access for complex use cases: Actuals vs Expected from hours to minutes.
- Empowering Data Teams: Provide a self-service platform that enhances efficiency and collaboration.
Join Alex and Dremio’s Head of Northern Europe, David Rock, at the New Moon Pub on the 16th of October to learn more about how RennaiseRe built a Modern Cloud Data Lakehouse using Dremio and solved their most complex data challenges.
About Dremio
Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases.
Based on open source technologies, including Apache Iceberg and Apache Arrow, Dremio provides an open lakehouse architecture enabling the fastest time to insight and platform flexibility at a fraction of the cost.
