Data Wrangling for Big Data: Challenges and Opportunities

Autor: Furche, Tim, Gottlob, George, Libkin, Leonid, Orsi, Giorgio, Paton, Norman

Publikováno v: Furche, T, Gottlob, G, Libkin, L, Orsi, G & Paton, N W 2016, Data Wrangling for Big Data: Challenges and Opportunities . in Advances in Database Technology — EDBT 2016 : Proceedings of the 19th International Conference on Extending Database Technology . Advances in Database Technology, pp. 473-478, 19th International Conference on Extending Database Technology, Bordeaux, France, 15/03/16 . https://doi.org/10.5441/002/edbt.2016.44
Furche, T, Gottlob, G, Libkin, L, Orsi, G & Paton, N 2016, Data Wrangling for Big Data: Challenges and Opportunities . in Advances in Database Technology — EDBT 2016 : Proceedings of the 19th International Conference on Extending Database Technology . pp. 473-478 . https://doi.org/10.5441/002/edbt.2016.44

Data wrangling is the process by which the data required by an applicationis identified, extracted, cleaned and integrated, to yield adata set that is suitable for exploration and analysis. Although thereare widely used Extract, Transform and Load (E

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https://hdl.handle.net/20.500.11820/c2ba42f4-4977-423b-9a37-ecd1687b81d4