Building Advanced Web Applications Using Data Ingestion and Data Processing Tools

被引:1
|
作者
Sprem, Simun [1 ]
Tomazin, Nikola [1 ]
Matecic, Jelena [1 ]
Horvat, Marko [2 ]
机构
[1] Agrokor Energija Doo, Trg Drazena Petrovica 3, HR-10000 Zagreb, Croatia
[2] Univ Zagreb, Fac Elect Engn & Comp, Dept Appl Comp, Unska 3, HR-10000 Zagreb, Croatia
关键词
data engineering; big data analytics; big data management; data acquisition; data ingestion; change data capture (CDC); data analysis tools; real-time data stream processing;
D O I
10.3390/electronics13040709
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Today, advanced websites serve as robust data repositories that constantly collect various user-centered information and prepare it for subsequent processing. The data collected can include a wide range of important information from email addresses, usernames, and passwords to demographic information such as age, gender, and geographic location. User behavior metrics are also collected, including browsing history, click patterns, and time spent on pages, as well as different preferences like product selection, language preferences, and individual settings. Interactions, device information, transaction history, authentication data, communication logs, and various analytics and metrics contribute to the comprehensive range of user-centric information collected by websites. A method to systematically ingest and transfer such differently structured information to a central message broker is thoroughly described. In this context, a novel tool-Dataphos Publisher-for the creation of ready-to-digest data packages is presented. Data acquired from the message broker are employed for data quality analysis, storage, conversion, and downstream processing. A brief overview of the commonly used and freely available tools for data ingestion and processing is also provided.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Data Ingestion and Inspection for Smart City Applications
    Bellini, Pierfrancesco
    Bologna, Daniele
    Han, Qi
    Nesi, Paolo
    Pantaleo, Gianni
    Paolucci, Michela
    2020 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP), 2020, : 238 - 243
  • [2] Analysis and processing aspects of data in big data applications
    Rahul, Kumar
    Banyal, Rohitash Kumar
    Goswami, Puneet
    JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY, 2020, 23 (02) : 385 - 393
  • [3] A Researcher-oriented Automated Data Ingestion Tool for rapid data Processing, Visualization and Preservation
    Hacker, Thomas
    Dyke, Shirley
    Ozdagli, Ali Irmak
    Marshall, Gemez
    Thompson, Christopher
    Rohler, Brian
    Yeum, Chul Min
    ADVANCES IN ENGINEERING SOFTWARE, 2017, 114 : 134 - 143
  • [4] An Evaluation of Data Stream Processing Systems for Data Driven Applications
    Samosir, Jonathan
    Indrawan-Santiago, Maria
    Haghighi, Pari Delir
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE 2016 (ICCS 2016), 2016, 80 : 439 - 449
  • [5] Big data processing tools: An experimental performance evaluation
    Rodrigues, Mario
    Santos, Maribel Yasmina
    Bernardino, Jorge
    WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2019, 9 (02)
  • [6] A Proposal of a Big Web Data Application and Archive for the Distributed Data Processing with Apache Hadoop
    Lnenicka, Martin
    Hovad, Jan
    Komarkova, Jitka
    COMPUTATIONAL COLLECTIVE INTELLIGENCE (ICCCI 2015), PT II, 2015, 9330 : 285 - 294
  • [7] A Compact Multichannel Data Acquisition and Processing System for IoT Applications
    George, Maria
    Akash, J. B.
    Hussain, Azad
    Sreelal, Sreedharan Pillai
    2015 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2015, : 1263 - 1267
  • [8] Internet of Things Enabled Data Acquisition Framework for Smart Building Applications
    Gao, Xinghua
    Pishdad-Bozorgi, Pardis
    Shelden, Dennis R.
    Tang, Shu
    JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2021, 147 (02)
  • [9] Affirmative data analytics based data processing method for 6G wireless network applications
    Jarrah, Muath
    Abu-Khadrah, Ahmed
    Alrababah, Hamza
    Jaya, Abdul Syukor Bin Mohamad
    Alqattan, Zakaria N. M.
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2024, 35 (10):
  • [10] IRNSS Ionosphere Modelling for Single Frequency Receiver using Data Ingestion Technique
    Maheshwari, Megha
    Nirmala, S.
    2018 4TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2018,