The explosive increase in data generation has resulted in an unprecedented need for the availability of
scalable and cost-effective big data processing solutions. Although traditional high-performance computing clusters
have rich functionality, the energy and cost requirements are high, which inhibits the ability of education facilities,
small research groups, and organizations with limited resources to adopt such a solution. This paper is a thorough
review of the new paradigm of inexpensive big data clusters that deploy Single Board Computers (SBCs), and
specifically, a Raspberry Pi-based implementation.