• Gannoju Vinod Kumar

The past several years have seen an increase in data stores with innovative design choices that may compromise an application's operational accuracy in order to improve performance, due to the large range of big data applications. This paper outlines our ongoing efforts to develop a framework that produces a part of validation. An application's characteristics are fed into the framework. Its output is a validation module that may be used to gauge how much unpredictable data a data store produces by plugging it into an application or a benchmark. This paper provides a synopsis of the BG benchmark by identifying its strengths and limitations in our daily use cases. The identified limitations shape our research activities and the obtained solutions shall be incorporated into future BG releases.

BENCHMARKING CORRECTNESS OF OPERATIONS IN BIG DATA APPLICATIONS

"BENCHMARKING CORRECTNESS OF OPERATIONS IN BIG DATA APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.n626-n632, April-2024, Available :http://www.jetir.org/papers/JETIR2404D77.pdf

"BENCHMARKING CORRECTNESS OF OPERATIONS IN BIG DATA APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppn626-n632, April-2024, Available at : http://www.jetir.org/papers/JETIR2404D77.pdf