diplomsko delo
Abstract
Diplomsko delo se osredotoča na uporabo orodja Apache NiFi za integracijo podatkov v velepodatkovni sistem, kar izboljšuje operativno učinkovitost in odločanje v podjetjih. V prvem delu je predstavljen teoretični pregled orodja Apache NiFi in njegovih funkcionalnosti, v praktičnem delu pa so implementirani novi podatkovni cevovodi, ki vključujejo prenos in transformacijo podatkov med Microsoft SQL Serverjem in podatkovnim jezerom v novem velepodatkovnem sistemu. Rezultati raziskave kažejo, da NiFi učinkovito podpira različne podatkovne formate ter je primeren in prilagodljiv za različne primere uporabe.
Keywords
Apache NiFi;integracija podatkov;velepodatkovni sistem;
Data
Language: |
Slovenian |
Year of publishing: |
2024 |
Typology: |
2.11 - Undergraduate Thesis |
Organization: |
UM FERI - Faculty of Electrical Engineering and Computer Science |
Publisher: |
[M. Klančnik] |
UDC: |
004.6-022.59(043.2) |
COBISS: |
217527299
|
Views: |
563 |
Downloads: |
44 |
Average score: |
0 (0 votes) |
Metadata: |
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Other data
Secondary language: |
English |
Secondary title: |
Utilizing Apache NiFi for data integration in a big data system |
Secondary abstract: |
The thesis focuses on the use of Apache NiFi for data integration into a big data system, enhancing operational efficiency and decision-making in enterprises. The first part presents a theoretical overview of Apache NiFi and its functionalities, while the practical part implements new data pipelines that include the transfer and transformation of data between Microsoft SQL Server and the data lake of the new big data system. The research results show that NiFi effectively supports various data formats and is suitable and adaptable for different use cases. |
Secondary keywords: |
Apache NiFi;data integration;big data system; |
Type (COBISS): |
Bachelor thesis/paper |
Thesis comment: |
Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja |
Pages: |
1 spletni vir (1 datoteka PDF (IX, 48 f.)) |
ID: |
24490460 |