Выпусков: 11

Join Banjo and Victoria as they talk about all things DataOps

DataOps Podcast Banjo Obayomi

    • Технологии

Join Banjo and Victoria as they talk about all things DataOps

    Vaticle Deepdive

    Vaticle Deepdive

    Join Banjo and Victoria as they have a conversation with Tomás from Vaticle about how their database solution empowers developers to build intelligent databases aka knowledge graphs

    • 35 мин.
    Databases to the Cloud

    Databases to the Cloud

    Join Banjo and Victoria as they have a conversation with Asha a Database Architect with over 16 years of experience on how digital transformation efforts are moving databases to the cloud

    • 45 мин.
    Checklists for your DataOps Processes

    Checklists for your DataOps Processes

    Join Banjo and Victoria as they have a conversation with Micheal a Researcher at Microsoft FATE (Fairness, Accountability, Transparency, and Ethics in AI) about the research he and his group have done in developing a "surgical checklist" for data processing. 

    • 36 мин.
    DataOps in EdTech

    DataOps in EdTech

    Join Banjo and Victoria as they have a conversation with Emily a Data Engineer at Otus on how they develop data pipelines to empower their EdTech Platform.

    • 24 мин.
    Algorithmic Accountability in the age of Big Data, Bias and Racism

    Algorithmic Accountability in the age of Big Data, Bias and Racism

    Join Banjo and Victoria as they have a conversation with Ayodele a Data Scientist on how biases are embedded into big data and how it can lead towards systemic racism.  We discuss strategies  to bring awareness and how to bring about changes through algorithmic accountability.

    • 26 мин.
    DataOps Podcast: DataOps is Empowerment

    DataOps Podcast: DataOps is Empowerment

    Join Banjo and Victoria, as they have a conversation with the "Father" of DataOps Christopher Bergh from DataKitchen. We discuss how the DataOps Manifesto came about and how DataOps empowers organizations to create value from their data.
    https://www.dataopsmanifesto.org/
    https://datakitchen.io/

    • 40 мин.

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