Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Till Westmann"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030944360
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::900d38dcc13bf764ea911f7185e63336
https://doi.org/10.1007/978-3-030-94437-7_5
https://doi.org/10.1007/978-3-030-94437-7_5
Autor:
Dmitry Lychagin, Till Westmann, Michael Blow, Ian Maxon, Ali Alsuliman, Michael Carey, Murtadha Ai Hubail
Publikováno v:
Proceedings of the VLDB Endowment. 12:2275-2286
Couchbase Server is a highly scalable document-oriented database management system. With a shared-nothing architecture, it exposes a fast key-value store with a managed cache for sub-millisecond data operations, indexing for fast queries, and a power
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eb2a9428e01542ea46639c7b43ce792
https://doi.org/10.14778/3352063.3352143
https://doi.org/10.14778/3352063.3352143
Publikováno v:
Proceedings of the VLDB Endowment. 9:1585-1588
Large quantities of raw data are being generated by many different sources in different formats. Private and public sectors alike acclaim the valuable information and insights that can be mined from such data to better understand the dynamics of ever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7c4aca1685e37cac09ad44938f43d1c
https://doi.org/10.14778/3007263.3007315
https://doi.org/10.14778/3007263.3007315
Publikováno v:
Encyclopedia of Database Systems ISBN: 9781489979933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed8ff9bc7262d7914edd904dc3cbe3cd
https://doi.org/10.1007/978-1-4614-8265-9_80645
https://doi.org/10.1007/978-1-4614-8265-9_80645
Publikováno v:
IEEE BigData
Big Data analytics has become an invaluable tool in a wide variety of businesses for exploiting the wealth of Big Data that they now have access to. As a result, various solutions within different categories of Big Data systems are emerging to meet t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91071473cef1c4c6c8b3b2720dff5b98
https://doi.org/10.1109/bigdata.2017.8258260
https://doi.org/10.1109/bigdata.2017.8258260
Autor:
Yasser Altowim, Khurram Faraaz, Vinayak Borkar, Sattam Alsubaiee, Pouria Pirzadeh, Ji Mahn Ok, Yingyi Bu, Zachary Heilbron, Michael J. Carey, Guangqiang Li, Young-Seok Kim, Vassilis J. Tsotras, Madhusudan Cheelangi, Jian Wen, Chen Li, Till Westmann, Raman Grover, Rares Vernica, Eugenia Gabrielova, Nicola Onose, Hotham Altwaijry, Alexander Behm, Inci Cetindil
Publikováno v:
Proceedings of the VLDB Endowment. 7:1905-1916
AsterixDB is a new, full-function BDMS (Big Data Management System) with a feature set that distinguishes it from other platforms in today's open source Big Data ecosystem. Its features make it well-suited to applications like web data warehousing, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e31eb2cd6e04526589725e10adadee97
https://doi.org/10.14778/2733085.2733096
https://doi.org/10.14778/2733085.2733096
Publikováno v:
CC
ZENODO
Proceedings of the 25th International Conference on Compiler Construction-CC 2016
Proceedings of the 25th International Conference on Compiler Construction
ZENODO
Proceedings of the 25th International Conference on Compiler Construction-CC 2016
Proceedings of the 25th International Conference on Compiler Construction
Designing and crafting a static program analysis is challenging due to the complexity of the task at hand. Among the challenges are modelling the semantics of the input language, finding suitable abstractions for the analysis, and handwriting efficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80830cd21fe14ba50d153f2f06ab7d88
https://doi.org/10.1145/2892208.2892226
https://doi.org/10.1145/2892208.2892226
Publikováno v:
IEEE BigData
In this paper, we report on an evaluation of four representative Big Data management systems (BDMSs): Mon-goDB, Hive, AsterixDB, and a commercial parallel shared-nothing relational database system. In terms of features, all offer to store and manage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3ea566562824f0f406a005d862005bc
https://doi.org/10.1109/bigdata.2015.7363793
https://doi.org/10.1109/bigdata.2015.7363793
Publikováno v:
IEEE BigData
The wide use of XML for document management and data exchange has created the need to query large repositories of XML data. To efficiently query such large data and take advantage of parallelism, we have implemented Apache VXQuery, an open-source sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba8dc386a0ba62dbbc8fa180d5a0bb6b
https://doi.org/10.1109/bigdata.2015.7363753
https://doi.org/10.1109/bigdata.2015.7363753
Publikováno v:
ASWEC
Static program analysis has many applications including bug checking for large scale code that requires a points-to analysis. To express static program analysis frameworks concisely, it is advantageous to employ a domain-specific language. In the las
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b631a04047895e9adb616b56d8796eb
https://doi.org/10.1109/aswec.2015.15
https://doi.org/10.1109/aswec.2015.15