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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.
