Big Data Software Engineering
Big Data, Big Data Analysis, Big Data Analytics, big data tools, Big data review, testing big data, big data architecture, large scale data, big data challenges, hadoop, mapreduce, big data benchmarking, big data software engineering, big data software, issues in big data, issues in data mining
Use the above keywords to search for papers in the libraries mentioned above. To shortlist papers you need to perform 3 selections, First check the title of the paper. If the title talks about Big Data overview or about big data analytics, the research issues and current problems in working with or handling Big Data software etc shortlist the paper. The focus should not be on the compute architecture but big data software as a whole. If you need more hints or if the title is not clear, read the Abstract and skim the paper to get a good idea about what the paper is about. Once you have collected potential interesting papers, see if the paper is presented in good conferences or journals. Some of the interesting conferences and journals for Big Data research have been identified above. If the paper is from one of these conferences, shortlist that paper. In the 3rd attempt you need to have a look at the remaining papers which haven't made the cut and identify if you happened to overlook any of them.