The document describes a market basket analysis algorithm using MapReduce and HBase to analyze transaction data from stores. The algorithm breaks transaction data into key-value pairs of item pairs, aggregates the counts using MapReduce, and stores the results in HBase. An experiment loaded transaction data of various sizes into Hadoop and analyzed the data, finding execution times increased with more data and nodes but HBase provided faster retrieval compared to HDFS alone.