CRZP - detail kniha

DZB - Zverejnená bakalárska práca

Využitie Apache Spark na detekciu a ošetrenie obchodne relevantných udalostí

Autor: Pekarovič, Stanislav
Školiteľ: Fabšič, Tomáš
Oponent: Rástocký, Martin
Škola: Slovenská technická univ. v Bratislave FEI ÚIM (FEI)
Rok odovzdania: 2020
Trvalý odkaz - CRZP: https://opac.crzp.sk/?fn=detailBiblioForm&sid=64930206F366C8E34104E4C607D8

Primárny jazyk: slovenčina

Typ práce: Bakalárska práca

Študijný odbor: 2511 | aplikovaná informatika

Dátum zaslania práce do CRZP: 30.05.2020

Dátum vytvorenia protokolu: 30.05.2020

Dátum doručenia informácií o licenčnej zmluve: 02.07.2020

Elektronická verzia
: Prehliadať

Kľúčové slová (ostatné):

Apache Kafka Java bankové systémy Apache Spark

Abstrakt v primárnom jazyku

The aim of the thesis was to get acquainted with technologies such as Apache Kafka,Apache Spark and their basic concepts. In the case of Apache Spark, it was necessaryto compare individual programming languages such as Java and Scala, and it was alsonecessary to examine the possibilities of integrating the code of the model in Python.In this thesis, we have largely described the processing of data streams, both from theperspective of Apache Kafka and Apache Spark. In the case of Apache Spark, we wentinto details of Apache Spark Streaming and also Apache Spark Structured Streaming,which we also used during the implementation part.Within the thesis, two commercially beneficial events were identified to which it isimportant to respond without a delay and a solution was implemented for those issues.Specifically, it was an application for detecting fraudulent payments and an applicationthat can use a tool called Drools to filter payments based on business rules.