Performance and Scale: Domain-Oriented Objects vs Tabular Data Structures - Fintech Applications

Explore the performance and scalability challenges of working with large data structures in memory, particularly in Fintech applications, through this insightful conference talk. Dive into the differences between domain-oriented objects and tabular data structures, examining how similar tasks can be solved using standard libraries, new approaches, rich data abstractions, and library-based optimizations proven in production environments. Focus on three library solutions for managing data, using high-performance CSV processing as an example, and compare their efficiencies from various perspectives. Gain valuable insights into addressing the dual needs of performance and advanced data processing capabilities in high-performance data processing, monitoring trading performance, risk management, and low-latency analytics.

[VDBUH2024] Rustam Mehmandarov -Performance&Scale Domain Oriented Objects vs Tabular Data Structures