Explores gossip efficiency in decentralized systems, covering protocols, interaction needs, and bandwidth optimization, along with search algorithms and optimizations.
Discusses advanced Spark optimization techniques for managing big data efficiently, focusing on parallelization, shuffle operations, and memory management.
Explores Hadoop's execution models, fault tolerance, data locality, and scheduling, highlighting the limitations of MapReduce and alternative distributed processing frameworks.
