dc.contributor.advisor | Žogla, Artūrs | en_US |
dc.contributor.author | Saleniece, Sandra | en_US |
dc.contributor.other | Latvijas Universitāte. Datorikas fakultāte | en_US |
dc.date.accessioned | 2015-03-23T10:16:18Z | |
dc.date.available | 2015-03-23T10:16:18Z | |
dc.date.issued | 2011 | en_US |
dc.identifier.other | 19049 | en_US |
dc.identifier.uri | https://dspace.lu.lv/dspace/handle/7/6730 | |
dc.description.abstract | Pieaugot dažādu sistēmu skaitam, kurām, bieţi tiek izmantoti atšķirīgi standarti, nepieciešama kopīga saskarne, kas nodrošina datu apmaiľu starp šīm sistēmām. Šādu uzdevumu pilda datu strukturēšanas valodas, kuras tiek izmantotas datu organizēšanai, glabāšanai un nodošanai gan sistēmas iekšienē, gan starp daţādām sistēmām. Darbā pētītas četras šādas valodas: XML, JSON, YAML un CSV, tiek pētīta to izcelšanās, lietojums, sintakse un galvenās iezīmes. Visas šīs valodas arī salīdzinātas savā starpā un minētas to problēmas, ka arī iespējamais problēmu risinājums. | en_US |
dc.description.abstract | Due to the increasing number of different systems, which are often using different standards, a common interface is required. Interface that enables data exchange between the two systems. In these situations data structure languages are used for data organizing, data storing and data exchange within and between different systems. In this research, there are studied four such languages: XML, JSON, YAML and CSV, has been studied its origins, usage, syntax and main features. All of these languages also compared with each other and mentioned in context with their problems and possible solutions. | en_US |
dc.language.iso | N/A | en_US |
dc.publisher | Latvijas Universitāte | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Datorzinātne | en_US |
dc.title | Strukturētu datu pierakstīšanas salīdzinājums | en_US |
dc.title.alternative | Comparison of structured data transcribe | en_US |
dc.type | info:eu-repo/semantics/bachelorThesis | en_US |