Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/45637

TitleDescribing and comparing Big Data querying tools
Author(s)Rodrigues, Mário
Santos, Maribel Yasmina
Bernardino, Jorge
KeywordsBig Data
SQL-on-Hadoop
Querying Processing
Analytics
Query processing
Issue dateApr-2017
PublisherSpringer Verlag
JournalAdvances in Intelligent Systems and Computing
CitationRodrigues, Mário, Maribel Yasmina Santos, and Jorge Bernardino, “Describing and Comparing Big Data Querying Tools”, In: Rocha Á., Correia A., Adeli H., Reis L., Costanzo S. (Eds.), Recent Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 569, pp. 115-124, ISBN: 978-3-319-56534-7, Springer, Cham (DOI: 10.1007/978-3-319-56535-4_12).
Abstract(s)In the past years, Big Data has become a hot topic across several business areas. One of the main concerns regarding this concept is how to handle the massive volume and variety of data efficiently. Due to the notorious complexity of the data associated to the Big Data concept, usually motivated by data volume, efficient querying analysis mechanisms are mandatory for data analysis purposes. Motivated by the rapidly development of tools and frameworks for Big Data, there is much discussion about querying tools and, specifically, those more appropriated for specific analytical needs. This paper explores some of the available querying tools, describing and comparing their main characteristics and architectures, crucial knowledge for selecting the more appropriate ones for inclusion in a specific Big Data analytical architecture.
TypeConference paper
URIhttp://hdl.handle.net/1822/45637
ISBN978-3-319-56534-7
DOI10.1007/978-3-319-56535-4_12
ISSN2194-5357
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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