Translating a Distributed Relational Database to a Document Database

Abstract The problem of transferring data from a database of one type to a database of another type is relevant today due to the increase in data volumes and the complexity of tasks solved in various fields of human activity. The existing databases are less and less satisfying the needs of users. Ne...
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Gespeichert in:

Autor*in:	Ha, Muon [verfasserIn] Shichkina, Yulia

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	NoSQL Database query Collection Document Database structure optimization Embedded documents

Anmerkung:	© The Author(s) 2022

Übergeordnetes Werk:	Enthalten in: Data science and engineering - Berlin : Springer, 2016, 7(2022), 2 vom: 03. März, Seite 136-155
Übergeordnetes Werk:	volume:7 ; year:2022 ; number:2 ; day:03 ; month:03 ; pages:136-155

Links:	Volltext

DOI / URN:	10.1007/s41019-022-00181-9

Katalog-ID:	SPR046982914

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spelling	10.1007/s41019-022-00181-9 doi (DE-627)SPR046982914 (SPR)s41019-022-00181-9-e DE-627 ger DE-627 rakwb eng Ha, Muon verfasserin aut Translating a Distributed Relational Database to a Document Database 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The problem of transferring data from a database of one type to a database of another type is relevant today due to the increase in data volumes and the complexity of tasks solved in various fields of human activity. The existing databases are less and less satisfying the needs of users. New types of databases appear that are more suitable for solving large-scale problems. This article proposes an algorithm for solving the problem of optimizing the document structure of a database based on metadata about the structure of a distributed relational database from which data are transferred. The approach also takes into account information about the structure of the priority database queries. The priority of database queries is user-defined. The system of automatic translation of the database, taking into account these metadata, allows the user to create a distributed document database that is optimal in two parameters: in terms of the volume of stored data and in terms of the execution time of priority database queries. NoSQL (dpeaa)DE-He213 Database query (dpeaa)DE-He213 Collection (dpeaa)DE-He213 Document (dpeaa)DE-He213 Database structure optimization (dpeaa)DE-He213 Embedded documents (dpeaa)DE-He213 Shichkina, Yulia (orcid)0000-0001-7140-1686 aut Enthalten in Data science and engineering Berlin : Springer, 2016 7(2022), 2 vom: 03. März, Seite 136-155 (DE-627)844076856 (DE-600)2842814-6 2364-1541 nnns volume:7 year:2022 number:2 day:03 month:03 pages:136-155 https://dx.doi.org/10.1007/s41019-022-00181-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2022 2 03 03 136-155
allfields_unstemmed	10.1007/s41019-022-00181-9 doi (DE-627)SPR046982914 (SPR)s41019-022-00181-9-e DE-627 ger DE-627 rakwb eng Ha, Muon verfasserin aut Translating a Distributed Relational Database to a Document Database 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The problem of transferring data from a database of one type to a database of another type is relevant today due to the increase in data volumes and the complexity of tasks solved in various fields of human activity. The existing databases are less and less satisfying the needs of users. New types of databases appear that are more suitable for solving large-scale problems. This article proposes an algorithm for solving the problem of optimizing the document structure of a database based on metadata about the structure of a distributed relational database from which data are transferred. The approach also takes into account information about the structure of the priority database queries. The priority of database queries is user-defined. The system of automatic translation of the database, taking into account these metadata, allows the user to create a distributed document database that is optimal in two parameters: in terms of the volume of stored data and in terms of the execution time of priority database queries. NoSQL (dpeaa)DE-He213 Database query (dpeaa)DE-He213 Collection (dpeaa)DE-He213 Document (dpeaa)DE-He213 Database structure optimization (dpeaa)DE-He213 Embedded documents (dpeaa)DE-He213 Shichkina, Yulia (orcid)0000-0001-7140-1686 aut Enthalten in Data science and engineering Berlin : Springer, 2016 7(2022), 2 vom: 03. März, Seite 136-155 (DE-627)844076856 (DE-600)2842814-6 2364-1541 nnns volume:7 year:2022 number:2 day:03 month:03 pages:136-155 https://dx.doi.org/10.1007/s41019-022-00181-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2022 2 03 03 136-155
allfieldsGer	10.1007/s41019-022-00181-9 doi (DE-627)SPR046982914 (SPR)s41019-022-00181-9-e DE-627 ger DE-627 rakwb eng Ha, Muon verfasserin aut Translating a Distributed Relational Database to a Document Database 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The problem of transferring data from a database of one type to a database of another type is relevant today due to the increase in data volumes and the complexity of tasks solved in various fields of human activity. The existing databases are less and less satisfying the needs of users. New types of databases appear that are more suitable for solving large-scale problems. This article proposes an algorithm for solving the problem of optimizing the document structure of a database based on metadata about the structure of a distributed relational database from which data are transferred. The approach also takes into account information about the structure of the priority database queries. The priority of database queries is user-defined. The system of automatic translation of the database, taking into account these metadata, allows the user to create a distributed document database that is optimal in two parameters: in terms of the volume of stored data and in terms of the execution time of priority database queries. NoSQL (dpeaa)DE-He213 Database query (dpeaa)DE-He213 Collection (dpeaa)DE-He213 Document (dpeaa)DE-He213 Database structure optimization (dpeaa)DE-He213 Embedded documents (dpeaa)DE-He213 Shichkina, Yulia (orcid)0000-0001-7140-1686 aut Enthalten in Data science and engineering Berlin : Springer, 2016 7(2022), 2 vom: 03. März, Seite 136-155 (DE-627)844076856 (DE-600)2842814-6 2364-1541 nnns volume:7 year:2022 number:2 day:03 month:03 pages:136-155 https://dx.doi.org/10.1007/s41019-022-00181-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2022 2 03 03 136-155
allfieldsSound	10.1007/s41019-022-00181-9 doi (DE-627)SPR046982914 (SPR)s41019-022-00181-9-e DE-627 ger DE-627 rakwb eng Ha, Muon verfasserin aut Translating a Distributed Relational Database to a Document Database 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The problem of transferring data from a database of one type to a database of another type is relevant today due to the increase in data volumes and the complexity of tasks solved in various fields of human activity. The existing databases are less and less satisfying the needs of users. New types of databases appear that are more suitable for solving large-scale problems. This article proposes an algorithm for solving the problem of optimizing the document structure of a database based on metadata about the structure of a distributed relational database from which data are transferred. The approach also takes into account information about the structure of the priority database queries. The priority of database queries is user-defined. The system of automatic translation of the database, taking into account these metadata, allows the user to create a distributed document database that is optimal in two parameters: in terms of the volume of stored data and in terms of the execution time of priority database queries. NoSQL (dpeaa)DE-He213 Database query (dpeaa)DE-He213 Collection (dpeaa)DE-He213 Document (dpeaa)DE-He213 Database structure optimization (dpeaa)DE-He213 Embedded documents (dpeaa)DE-He213 Shichkina, Yulia (orcid)0000-0001-7140-1686 aut Enthalten in Data science and engineering Berlin : Springer, 2016 7(2022), 2 vom: 03. März, Seite 136-155 (DE-627)844076856 (DE-600)2842814-6 2364-1541 nnns volume:7 year:2022 number:2 day:03 month:03 pages:136-155 https://dx.doi.org/10.1007/s41019-022-00181-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2022 2 03 03 136-155
language	English
source	Enthalten in Data science and engineering 7(2022), 2 vom: 03. März, Seite 136-155 volume:7 year:2022 number:2 day:03 month:03 pages:136-155
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spellingShingle	Ha, Muon misc NoSQL misc Database query misc Collection misc Document misc Database structure optimization misc Embedded documents Translating a Distributed Relational Database to a Document Database
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title_auth	Translating a Distributed Relational Database to a Document Database
abstract	Abstract The problem of transferring data from a database of one type to a database of another type is relevant today due to the increase in data volumes and the complexity of tasks solved in various fields of human activity. The existing databases are less and less satisfying the needs of users. New types of databases appear that are more suitable for solving large-scale problems. This article proposes an algorithm for solving the problem of optimizing the document structure of a database based on metadata about the structure of a distributed relational database from which data are transferred. The approach also takes into account information about the structure of the priority database queries. The priority of database queries is user-defined. The system of automatic translation of the database, taking into account these metadata, allows the user to create a distributed document database that is optimal in two parameters: in terms of the volume of stored data and in terms of the execution time of priority database queries. © The Author(s) 2022
abstractGer	Abstract The problem of transferring data from a database of one type to a database of another type is relevant today due to the increase in data volumes and the complexity of tasks solved in various fields of human activity. The existing databases are less and less satisfying the needs of users. New types of databases appear that are more suitable for solving large-scale problems. This article proposes an algorithm for solving the problem of optimizing the document structure of a database based on metadata about the structure of a distributed relational database from which data are transferred. The approach also takes into account information about the structure of the priority database queries. The priority of database queries is user-defined. The system of automatic translation of the database, taking into account these metadata, allows the user to create a distributed document database that is optimal in two parameters: in terms of the volume of stored data and in terms of the execution time of priority database queries. © The Author(s) 2022
abstract_unstemmed	Abstract The problem of transferring data from a database of one type to a database of another type is relevant today due to the increase in data volumes and the complexity of tasks solved in various fields of human activity. The existing databases are less and less satisfying the needs of users. New types of databases appear that are more suitable for solving large-scale problems. This article proposes an algorithm for solving the problem of optimizing the document structure of a database based on metadata about the structure of a distributed relational database from which data are transferred. The approach also takes into account information about the structure of the priority database queries. The priority of database queries is user-defined. The system of automatic translation of the database, taking into account these metadata, allows the user to create a distributed document database that is optimal in two parameters: in terms of the volume of stored data and in terms of the execution time of priority database queries. © The Author(s) 2022
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title_short	Translating a Distributed Relational Database to a Document Database
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score	7.3996534

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Translating a Distributed Relational Database to a Document Database

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