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Visar resultat 1 - 5 av 22 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Data-driven decisions in Sports

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Gabriel Garcia de Baquedano; [2023]
    Nyckelord :team sports; data analytics; artificial intelligence; decision making; Python programming language;

    Sammanfattning : In recent years, many sectors such as insurance, banking, retail, etc. have adopted Big Data architectures to boost their business activities. Such tools not only suppose a greater profit for thesecompanies but also allow them to gain a better understanding of their customers and their needs. LÄS MER

  3. 2. Big Data Visualization in Extended Reality

    Master-uppsats, Lunds universitet/Institutionen för designvetenskaper

    Författare :Trevina Litchmore; Mahnaz Wahidi Taher Ahmad; [2023]
    Nyckelord :Immersive Analytics; Big Data; Virtual Reality; Co-design; Participatory Design; Data Visualization; Technology and Engineering;

    Sammanfattning : Effectively utilizing Big Data can be a challenge for many companies. Due to its volume, many aspects of the data processing pipeline such as storage, retrieval and usage may quickly become problematic. For example, it could be difficult identifying the relevant metrics when analyzing a service failure. LÄS MER

  4. 3. Application of anonymization techniques (k-anonymity, generalization, and suppression) on an employee database: Use case – Swedish municipality

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Babatunde Oyedele; [2023]
    Nyckelord :anonymization; anonymization techniques; k-anonymity; generalization; suppression; ARX tool;

    Sammanfattning : This thesis explores data anonymization techniques within the context of a Swedish municipality with a focus on safeguarding data privacy, enhancement of decision-making, and assessing re-identification risks. The investigation, grounded in a literature review and an experimental study, employed the ARX anonymization tool on a sample municipality employee database. LÄS MER

  5. 4. A performance study for autoscaling big data analytics containerized applications : Scalability of Apache Spark on Kubernetes

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Vinay Kumar Vennu; Sai Ram Yepuru; [2022]
    Nyckelord :Containers; Container Orchestration; Big data analytics; Autoscaling; Resource Management;

    Sammanfattning : Container technologies are rapidly changing how distributed applications are executed and managed on cloud computing resources. As containers can be deployed on a large scale, there is a tremendous need for Container Orchestration tools like Kubernetes that are highly automatic in deployment, scaling, and management. LÄS MER

  7. 5. Big Maritime Data: The promises and perils of the Automatic Identification System : Shipowners and operators’ perceptions

    Magister-uppsats, Linnéuniversitetet/Institutionen för informatik (IK)

    Författare :Andreas Kouvaras; [2022]
    Nyckelord :Qualitative Research; Automatic Identification System; Big Data decision-making; Big Data Analytics; Big Data Characteristics; Big Data Application in Shipping Industry;

    Sammanfattning : The term Big Data has been gaining importance both at the academic and at the business level. Information technology plays a critical role in shipping since there is a high demand for fast transfer and communication between the parts of a shipping contract. LÄS MER