baito logo
    navigation?.buttons?.createJob?.text
    vor 6 Monate
    Karlsruher Institut für Technologie header
    Karlsruher Institut für Technologie logo
    Vollzeit
    Junior
    #wissenschaft#technologie#forschung

    Master Thesis or Internship: Data Partitioning for Large Scientific Databases

    Karlsruher Institut für Technologie
    Link zu Karlsruher Institut für Technologie
    Eggenstein-Leopoldshafen
    Jetzt bewerben
    Der folgende Stellentext wurde von uns automatisch zusammengefasst.

    Einführung

    This job is a master thesis or internship opportunity at the Institute for Process Data Processing and Electronics (IPE). The focus of the project is to develop an efficient and robust database partitioning strategy for managing vast amounts of data generated by large-scale scientific experiments. The project offers a remarkable opportunity for skill development and knowledge enhancement in the domain of advanced database management.

    Aufgaben

    • Understand the complexities of large-scale scientific data and the challenges it poses to traditional database systems
    • Evaluate the performance difference between vertical partitioning and horizontal partitioning
    • Investigate and evaluate existing database partitioning techniques in the context of scientific data
    • Design and implement novel database partitioning algorithms tailored to the specific requirements of scientific experiments
    • Optimize data access and retrieval for faster query performance and enhanced data management

    Voraussetzungen

    • Familiarity with programming languages such as Python or C++ or C#
    • Basic knowledge of database systems
    • Practical experience with SQL databases is advantageous but not mandatory
    vor 6 Monate

    Verweise auf baito

    Du findest gut, was wir machen? Du kannst uns dabei unterstützen. Gib bei deiner Bewerbung an, dass du die Stelle bei baito gefunden hast.

    Jetzt bewerben

    Ähnliche Jobs