| 000 | 04115nlm1a2200577 4500 | ||
|---|---|---|---|
| 001 | 653282 | ||
| 005 | 20231030041215.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\18697 | ||
| 035 | _aRU\TPU\network\18641 | ||
| 090 | _a653282 | ||
| 100 | _a20170221a2016 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 102 | _aRU | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aEfficient data management tools for the heterogeneous big data warehouse _fA. A. Alekseev [et al.] |
|
| 203 |
_aText _celectronic |
||
| 300 | _aTitle screen | ||
| 320 | _a[References: p. 692 (4 tit.)] | ||
| 330 | _aThe traditional RDBMS has been consistent for the normalized data structures. RDBMS served well for decades, but the technology is not optimal for data processing and analysis in data intensive fields like social networks, oil-gas industry, experiments at the Large Hadron Collider, etc. Several challenges have been raised recently on the scalability of data warehouse like workload against the transactional schema, in particular for the analysis of archived data or the aggregation of data for summary and accounting purposes. The paper evaluates new database technologies like HBase, Cassandra, and MongoDB commonly referred as NoSQL databases for handling messy, varied and large amount of data. The evaluation depends upon the performance, throughput and scalability of the above technologies for several scientific and industrial use-cases. This paper outlines the technologies and architectures needed for processing Big Data, as well as the description of the back-end application that implements data migration from RDBMS to NoSQL data warehouse, NoSQL database organization and how it could be useful for further data analytics. | ||
| 333 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 461 |
_tPhysics of Particles and Nuclei Letters _oScientific Journal |
||
| 463 |
_tVol. 13, iss. 5 _v[P. 689–692] _d2016 |
||
| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _aСУБД | |
| 610 | 1 | _aсистема управления базами данных | |
| 610 | 1 | _aRelational Database Management System | |
| 610 | 1 | _aRDBMS | |
| 610 | 1 | _aNoSQL | |
| 610 | 1 | _aSQL | |
| 610 | 1 | _aBig Data | |
| 610 | 1 | _aHeterogeneous Data Warehouse | |
| 610 | 1 | _aхранилища | |
| 610 | 1 | _aданные | |
| 610 | 1 | _aApache Hadoop | |
| 610 | 1 | _aHive | |
| 610 | 1 | _aMongoDB | |
| 610 | 1 | _aData Manipulation Language | |
| 610 | 1 | _aDML | |
| 701 | 1 |
_aAlekseev _bA. A. _cspecialist in the field of automatic control _cEngineer of Tomsk Polytechnic University, Postgraduate _f1988- _gAleksandr Aleksandrovich _2stltpush _3(RuTPU)RU\TPU\pers\37959 |
|
| 701 | 1 |
_aOsipova _bV. V. _cspecialist in the field of informatics and computer technology _cprogrammer, associate Professor of Tomsk Polytechnic University, candidate of technical Sciences _f1984- _gViktoriya Viktorovna _2stltpush _3(RuTPU)RU\TPU\pers\35513 |
|
| 701 | 1 |
_aIvanov _bM. A. _cspecialist in the field of informatics and computer technology _cAssociate Professor of Tomsk Polytechnic University, Candidate of technical sciences _f1980- _gMaksim Anatoljevich _2stltpush _3(RuTPU)RU\TPU\pers\37960 |
|
| 701 | 1 |
_aKlimentov _bA. A. _gAleksey Anatoljevich |
|
| 701 | 1 |
_aGrigorjeva _bN. V. _gNina Valerjevna |
|
| 701 | 1 |
_aNalamvar _bH. S. _cspecialist in the field of automatic control _cassistant of Tomsk Polytechnic University _f1987- _gHitesh Sanzhay _2stltpush _3(RuTPU)RU\TPU\pers\36316 |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет (ТПУ) _bИнститут кибернетики (ИК) _bКафедра оптимизации систем управления (ОСУ) _bНаучно-учебная лаборатория "Виртуальный промысел" (НУЛ ВП) _h6693 _2stltpush _3(RuTPU)RU\TPU\col\20411 |
| 801 | 2 |
_aRU _b63413507 _c20170227 _gRCR |
|
| 856 | 4 | _uhttp://dx.doi.org/10.1134/S1547477116050022 | |
| 942 | _cCF | ||