The volume of data is constantly growing due to the explosion of machine-generated data and human involvement in social networks, especially in the last period in which the pandemic forced most activities to take place online. Big Data refers to storage, manipulation and analysis of this huge data sets that come from variety of sources and are too large and too heterogeneous to be traditionally processed. This paper gives an overview of Big Data sources, Big Data analytics, its applications, advantages and limitations,  and challenges that Big Data has to face nowadays.

Acknowledgements: “The work of the first author is supported by the project ANTREPRENORDOC, in the framework of Human Resources Development Operational Programme 2014-2020, financed from the European Social Fund under the contract number 36355/23.05.2019 HRD OP /380/6/13 – SMIS Code: 123847. The work of the second author was carried out in the framework of the research project DREAM (Dynamics of the REsources and technological Advance in harvesting Marine renewable energy), supported by the Romanian Executive Agency for Higher Education, Research, Development and Innovation Funding – UEFISCDI, grant number PN-III-P4-ID- PCE-2020-0008.”