Explore the intersection of big data and small computers in this 21-minute Java conference talk. Delve into topics such as MapReduce on Hadoop, data centers, RAID arrays, distributed hashmaps, and memory models. Learn about reliable computation techniques, fork-join parallelism, task splitting, and distributed key-value stores. Gain insights into programming models for big data processing, including parallel Java implementations, HDFS, and append-only data structures. Discover how to leverage small computers for handling large-scale data challenges and optimize your approach to big data processing.