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Parallel Polyglot Query Processing on Heterogeneous Cloud Data Stores with LeanXcale
2018
2018 IEEE International Conference on Big Data (Big Data)
The blooming of different cloud data stores has turned polystore systems to a major topic in the nowadays cloud landscape. Especially, as the amount of processed data grows rapidly each year, much attention is being paid on taking advantage of the parallel processing capabilities of the underlying data stores. To provide data federation, a typical polystore solution defines a common data model and query language with translations to API calls or queries to each data store. However, this may
doi:10.1109/bigdata.2018.8622187
dblp:conf/bigdataconf/KolevLPVVGJK18
fatcat:ticpdcbionc7dgzxqfv3zwhfpi