Conf42: Kube Native 2023


Applying DevOps practices in Data and ML Engineering

Antoni Ivanov
Staff Engineer @ VMware

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Much more efficient ML and Data Engineering can be achieved by - reducing dependencies between teams - enabling everyone to focus on work that requires their core skills - automating and abstracting data infrastructure and DevOps processes as much as possible And we will demo how.

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