Published Paper Details:

Big data systems are stable enough to store and handle large amounts of constantly changing data. Big data systems, on the other hand, are made up of large-scale hardware resources, making their subspecies prone to failure. The fundamental feature of such systems is fault tolerance, which ensures availability, reliability, and consistent performance even when there are defects. It's difficult to implement an effective fault tolerance solution in a large data system because fault tolerance must adhere to certain performance and resource restrictions. This research seeks to give a uniform understanding of fault tolerance in large data systems and to highlight typical roadblocks to fault tolerance efficiency enhancement. Previous research's fault tolerance solutions are examined to meet the stated difficulties. The report also includes a thoughtful assessment of prior research' conclusions, as well as a list of future options for addressing fault tolerance issues.