MongoDB’s Aggregation Framework is one of the most powerful features for data processing and analysis in modern databases. In this comprehensive guide, we’ll explore what it is, how to use it effectively, and advanced optimization techniques that can significantly improve your application’s performance.
Read the first part of this series from here
In the dynamic world of database management, concurrency represents the simultaneous execution of multiple transactions across complex systems. While this approach enables high-performance and efficient data processing, it introduces critical challenges that can compromise data integrity. Scenarios like dirty reads, non-repeatable reads, phantom reads, and lost updates threaten the fundamental reliability of database operations, creating potential risks that range from minor inconsistencies to significant financial and operational disruptions.
Understanding these concurrency problems is essential for developers and system architects to design robust, dependable transactional systems.
