000 | 03221nam a22005415i 4500 | ||
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001 | 978-3-030-03892-2 | ||
003 | DE-He213 | ||
005 | 20220801213626.0 | ||
007 | cr nn 008mamaa | ||
008 | 190109s2019 sz | s |||| 0|eng d | ||
020 |
_a9783030038922 _9978-3-030-03892-2 |
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024 | 7 |
_a10.1007/978-3-030-03892-2 _2doi |
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050 | 4 | _aTA329-348 | |
050 | 4 | _aTA345-345.5 | |
072 | 7 |
_aTBJ _2bicssc |
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072 | 7 |
_aTEC009000 _2bisacsh |
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072 | 7 |
_aTBJ _2thema |
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082 | 0 | 4 |
_a620 _223 |
100 | 1 |
_aCho, Chung Yik. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _933277 |
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245 | 1 | 0 |
_aLarge Scale Data Analytics _h[electronic resource] / _cby Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu. |
250 | _a1st ed. 2019. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
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300 |
_aIX, 89 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aData, Semantics and Cloud Computing, _x2524-6607 ; _v806 |
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505 | 0 | _aIntroduction -- Background -- Large Scale Data Analytics -- Query Framework -- Results and Discussion -- Conclusion and Future Works. | |
520 | _aThis book presents a language integrated query framework for big data. The continuous, rapid growth of data information to volumes of up to terabytes (1,024 gigabytes) or petabytes (1,048,576 gigabytes) means that the need for a system to manage and query information from large scale data sources is becoming more urgent. Currently available frameworks and methodologies are limited in terms of efficiency and querying compatibility between data sources due to the differences in information storage structures. For this research, the authors designed and programmed a framework based on the fundamentals of language integrated query to query existing data sources without the process of data restructuring. A web portal for the framework was also built to enable users to query protein data from the Protein Data Bank (PDB) and implement it on Microsoft Azure, a cloud computing environment known for its reliability, vast computing resources and cost-effectiveness. | ||
650 | 0 |
_aEngineering mathematics. _93254 |
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650 | 0 |
_aEngineering—Data processing. _931556 |
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650 | 1 | 4 |
_aMathematical and Computational Engineering Applications. _931559 |
700 | 1 |
_aTan, Rong Kun Jason. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _933278 |
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700 | 1 |
_aLeong, John A. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _933279 |
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700 | 1 |
_aSidhu, Amandeep S. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _933280 |
|
710 | 2 |
_aSpringerLink (Online service) _933281 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030038915 |
776 | 0 | 8 |
_iPrinted edition: _z9783030038939 |
830 | 0 |
_aData, Semantics and Cloud Computing, _x2524-6607 ; _v806 _933282 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-03892-2 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c75406 _d75406 |