Big Data has become a major technology hotbed between academics and practitioners in the digital competitive area. In developing a successful Big Data project, it is necessary to investigate the variables and category of Critical Success Factors (CSF) that impact the successful execution of Big Data implementation. Critical Success Factors (CSF) can be used as a benchmark for Big Data Projects implementation. This paper aims to examine the factors that decide a Big Data implementation can be a success. Based on Systematic Literature Review (SLR) in related papers in the past five years (2015-2020), this paper identifies seven categories of CSF for implementation Big Data Projects namely Technology, People, Top Management, Organization, Data Management, Process, and Governance. © 2024 Author(s).