The field of data management and processing is witnessing significant advancements, driven by the need for efficient, scalable, and robust solutions. Recent developments are focused on improving performance, reducing latency, and enhancing overall system reliability. Notably, innovative approaches such as hyperdimensional computing, hardware-software co-design, and adaptive caching are being explored to address the challenges posed by emerging applications and workloads. These advancements have the potential to transform various domains, including database systems, autonomous vehicles, and edge computing. Noteworthy papers in this area include GROOT, which presents a general-purpose automatic parameter tuning framework, and HDDB, which proposes a hyperdimensional computing-based approach for efficient in-storage SQL database search. Other notable works include AME, which introduces an efficient heterogeneous agentic memory engine for smartphones, and PolarStore, which presents a high-performance data compression system for cloud-native databases.