Theis: Adaptiveness in data handling for efficient data pipelines

Volvo Business Services AB / Supportteknikerjobb / Göteborg
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Data ingestion is a critical aspect of any data project. For a company to be data driven, it is critical for data to be available to the analysts and engineers in the fastest way possible, with data veracity intact.
This thesis project focuses on creating a multi-tenant streaming framework across multiple tiers in the edge-cloud/data-center continuum, to keep pace with increasing volumes and rates of data generated in digitalized industrial processes.
The project will study existing industrial multi-tier data pipelines to support pre-processing and prioritization for enhancing the efficiency, scalability and robustness. The challenges include creating a multi-tenant streaming framework, with parallelization and prioritization of the processing tasks.

Suitable background
Distributed Computing & System

Description of thesis work

The aim of this project is to create a multi-tenant streaming framework for faster data processing. It will study existing industrial multi-tier data pipelines to support pre-processing and prioritization for enhancing the efficiency, scalability and robustness.
Intended approach:
Study of relevant theories and principles related to multi-tenant streaming framework
Design the streaming framework
Parallelization and prioritization of data processing by learning the data properties

Thesis Level: Master

Language: Thesis to be written in English

Starting date: 2024-01-15

Number of students: 2 (Two)

Tutor
Binay Mishra, binay.mishra@volvo.com, Digital Product Manager - Build and Test Data

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Så ansöker du
Sista dag att ansöka är 2023-11-16
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Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Volvo Business Services AB (org.nr 556029-5197)
405 08  GÖTEBORG

Arbetsplats
Volvo Group

Jobbnummer
8235865

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