job merging is an optimization aimed to reduce the amount of I/O through the MapReduce pipeline. Job merging is a…
Chain folding is an optimization that is applied to MapReduce job chains.Take a look at the map phases in the…
Job chaining is extremely important to understand and have an operational plan for in your environment. Many people find that…
Composite joins are particularly useful if you want to join very large data sets together. However, the data sets must…
A replicated join is an extremely useful, but has a strict size limit on all but one of the data…
A reduce side join is arguably one of the easiest implementations of a join in MapReduce, and therefore is a…
Shuffling pattern can be used when we want to randomize the data set for repeatable random sampling For example, the…