Publications of Jérôme Darmont
P.N. Sawadogo, J. Darmont, "Benchmarking Data Lakes Featuring Structured and Unstructured Data with DLBench", 23rd International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2021), Linz, Austria, September 2021; Lecture Notes in Computer Science, Vol. 12925, Springer, Heidelberg, Germany, 15-26.
In the last few years, the concept of data lake has become trendy for data storage and analysis. Thus, several design alternatives have been proposed to build data lake systems. However, these proposals are difficult to evaluate as there are no commonly shared criteria for comparing data lake systems. Thus, we introduce DLBench, a benchmark to evaluate and compare data lake implementations that support textual and/or tabular contents. More concretely, we propose a data model made of both textual and raw tabular documents, a workload model composed of a set of various tasks, as well as a set of performance-based metrics, all relevant to the context of data lakes. As a proof of concept, we use DLBench to evaluate an open source data lake system we previously developed.
Data lakes, Benchmarking, Textual Documents, Tabular data
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