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Uporaba tehnologije NoSQL za učinkovitejše izračunavanje regulatornih poročil v zavarovalništvu
ID Novak, Matic (Author), ID Lavbič, Dejan (Mentor) More about this mentor... This link opens in a new window

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Abstract
Finančni in zavarovalniški trg je z namenom obvladovanja tveganj vlagateljev močno reguliran. V začetku leta 2022 v veljavo stopi nova direktiva, imenovana IFRS 17, ki predvideva izčrpno poročanje o posameznih finančnih instrumentih. S tehničnega vidika to pomeni shranjevanje in obdelavo ogromne količine podatkov tipa časovnih vrst. Poiskati je treba učinkovito in cenovno ugodno rešitev za reševanje omenjenega problema. V tem delu glede na različne kriterije primerjamo eno relacijsko in štiri nerelacijske podatkovne baze, ki ustrezajo naravi problema. Za najbolj obetavno se izkaže implementacija TimescaleDB, ki se jo da enostavno namestiti kot razširitev baze PostgreSQL. Izkaže se kot izjemno zanesljiva in učinkovita rešitev za poizvedovanje nad ogromnimi časovnimi vrstami, hkrati pa jo je moč porazdeliti med več strežnikov in zagotoviti hitro poizvedovanje.

Language:Slovenian
Keywords:podatkovne baze, obdelava velike količine podatkov, porazdelitev podatkov in obdelave, regulatorna poročila v zavarovalništvu
Work type:Master's thesis/paper
Organization:FRI - Faculty of Computer and Information Science
Year:2019
PID:20.500.12556/RUL-110061 This link opens in a new window
COBISS.SI-ID:1538330563 This link opens in a new window
Publication date in RUL:11.09.2019
Views:984
Downloads:226
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Secondary language

Language:English
Title:Efficient reports' compilation in the insurance industry using NoSQL
Abstract:
The financial and insurance sector is heavily regulated. A new directive, called IFRS 17, is going to be issued in the beginning of year 2022. The directive requires comprehensive reporting about individual financial instruments from financial institutions. From a technical point of view, it means storing and processing huge amounts of time series data. An effective and affordable solutions are required to address the problem. In this thesis, we compare one relational and four NoSQL databases. The databases are compared according to different criteria that correspond to the nature of the problem. The implementation of TimescaleDB proves to be an extremely reliable and effective solution for querying over huge time series. It can also be distributed across multiple servers and provides fast querying.

Keywords:databases, processing large amounts of data, data and processing distribution, regulatory reports in insurance industry

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