Lecture
This lecture delves into optimizing join operations in distributed systems, focusing on handling skewness to minimize job completion time. The instructor explains the impact of skewed data on reducers, the limitations of standard approaches, and introduces the 1-Bucket-Theta algorithm as a solution. Various challenges such as load partitioning, reducer-centric cost models, and optimization goals are discussed. The lecture also covers the importance of randomization in mapping records to reducers to achieve uniform load distribution and reduce output skew.