Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Jaql"'
Publikováno v:
Journal of Big Data, Vol 5, Iss 1, Pp 1-21 (2018)
Abstract MapReduce (MR) is a criterion of Big Data processing model with parallel and distributed large datasets. This model knows difficult problems related to low-level and batch nature of MR that gives rise to an abstraction layer on the top of MR
Externí odkaz:
https://doaj.org/article/63c4d9205ab74adcb989a39831f2d309
Autor:
Zekić, Martin
U ovom ć e se radu prezentirati Big Data te alati MongoDB, Apache Hadoop, Hive, JAQL, Bigtable, Cassandra i Pig koji se koriste za manipulaciju sa tako ogromnom koli č inom strukturiranih I nestrukturiranih podataka. Prikazat ć e se funkcije Map i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4017::413ecf1da674427937273cf12afe700d
https://repozitorij.unipu.hr/islandora/object/unipu:7261
https://repozitorij.unipu.hr/islandora/object/unipu:7261
Publikováno v:
2019 5th International Conference on Control, Automation and Robotics (ICCAR).
In this paper, we address the issue of autonomous robotic navigation in an indoor environment. An Augmented Reality (AR) based navigation system is created using the JAQL robot and an Google Pixel 2 Android smart phone. In developing this system, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d4cb8f210535ed86b2088a75a7b0734
https://doi.org/10.1109/iccar.2019.8813348
https://doi.org/10.1109/iccar.2019.8813348
Publikováno v:
POPL
POPL, Jan 2013, Rome, Italy. pp.101-114, ⟨10.1145/2429069.2429083⟩
POPL, Jan 2013, Rome, Italy. pp.101-114, ⟨10.1145/2429069.2429083⟩
International audience; We present a calculus for processing semistructured data that spans differences of application area among several novel query languages, broadly categorized as ''NoSQL''. This calculus lets users define their own operators, ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27799f1b52a83638536b7f321582ee96
https://doi.org/10.1145/2480359.2429083
https://doi.org/10.1145/2480359.2429083
Autor:
Mohamed Y. Eltabakh, Kevin Scott Beyer, Rainer Gemulla, Vuk Ercegovac, Carl-Christian Kanne, Andrey Balmin, Fatma Ozcan, Eugene J. Shekita
Publikováno v:
Scopus-Elsevier
This paper describes Jaql, a declarative scripting language for analyzing large semistructured datasets in parallel using Hadoop's MapReduce framework. Jaql is currently used in IBM's InfoSphere BigInsights [5] and Cognos Consumer Insight [9] product
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d37aeae1fe4282397362f2fc934051a
https://doi.org/10.14778/3402755.3402761
https://doi.org/10.14778/3402755.3402761
Autor:
Prasad Chakka, Raghotham Murthy, Ashish Thusoo, Suresh Anthony, Namit Jain, Zheng Shao, Joydeep Sen Sarma, Hao Liu, Pete Wyckoff
Publikováno v:
Proceedings of the VLDB Endowment. 2:1626-1629
The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensive. Hadoop [3] is a popular open-source map-reduce implementation which is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d71f7d5277fb04c10b0c7181935176d
https://doi.org/10.14778/1687553.1687609
https://doi.org/10.14778/1687553.1687609
Autor:
Jeffrey Dean, Sanjay Ghemawat
Publikováno v:
Communications of the ACM. 51:107-113
MapReduce is a programming model and an associated implementation for processing and generating large datasets that is amenable to a broad variety of real-world tasks. Users specify the computation in terms of a map and a reduce function, and the und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58af06a4b79cb9486f8c45b257a6b178
https://doi.org/10.1145/1327452.1327492
https://doi.org/10.1145/1327452.1327492
Autor:
Namrata Singh, Sanjay Agrawal
Publikováno v:
Proceedings of the International Congress on Information and Communication Technology ISBN: 9789811007668
The current era is an era of big data analytics. One of the challenges of big data is mining of the relevant data out of huge volume of databases where the data is present in variety of formats. MapReduce is providing a viable solution to analyze thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c07c98cbeed65948c5a467e33c324504
https://doi.org/10.1007/978-981-10-0767-5_57
https://doi.org/10.1007/978-981-10-0767-5_57
Publikováno v:
2015 International Symposium on Mathematical Sciences and Computing Research (iSMSC).
The value of Big Data largely relies on its analytical outcomes; and MapReduce has so far been the most efficient tool for performing analysis on the data. However, the low level nature of MapReduce programming necessitates the development of High-le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41eae8f241a1d093b2212944d45f9614
https://doi.org/10.1109/ismsc.2015.7594057
https://doi.org/10.1109/ismsc.2015.7594057
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