Big data is considered as a serious problem since few years ago. However, advancements in analytics has enhanced the performance of analytics of large sized datasets. Lots of research is being carried out to improve various Big Data Analytics schemes (BDA) instead of cumbersome traditional data processing methods. Big data analysis is considered to be a pipeline of recording; cleaning, extraction, and annotation; aggregation, integration and acquisition, analysis, modeling and interpretation. This work describes what big data is and its importance, moreover, how it's changing the analytics by furnishing us with new tools, techniques and opportunities for harnessing large amounts of unstructured and structured data. We also present difference line between BDA and traditional analytics. Finally, we concluded the current challenges that are faced by big data analytics experts.