Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Big data introduces challenges to query ansring, from theory to practice. A number of questions arise. What queries are "tractable" on big data? How can  make big data "small" so that it is feasible to find exact query ansrs? When exact ansrs are beyond reach in practice, what approximation theory can help us strike a balance beten the quality of approximate query ansrs and the costs of computing such ansrs? To get sensible query ansrs in big data, what else do  necessarily do in addition to coping with the size of the data? This position paper aims to provide an overview of recent advances in the study of querying big data.  propose approaches to tackling these challenging issues, and identify open problems for future research.
['Wenfei Fan', 'Jinpeng Huai']
I am writing a research paper on a idea Querying Big Data: Bridging Theory and Practice
[{"from": "human", "value": "I am writing a research paper on a idea Querying Big Data: Bridging Theory and Practice"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Big data introduces challenges to query ansring, from theory to practice. A number of questions arise. What queries are \"tractable\" on big data? How can  make big data \"small\" so that it is feasible to find exact query ansrs? When exact ansrs are beyond reach in practice, what approximation theory can help us strike a balance beten the quality of approximate query ansrs and the costs of computing such ansrs? To get sensible query ansrs in big data, what else do  necessarily do in addition to coping with the size of the data? This position paper aims to provide an overview of recent advances in the study of querying big data.  propose approaches to tackling these challenging issues, and identify open problems for future research."}]