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.
DevOps revolutionized Software engineering by adopting agile, lean practices and fostering collaboration. The same need exists in Data Engineering. In this talk, Antoni will go over how to adopt the best DevOps practices in the space of data engineering. And the challenges in adopting them considering the different skill sets of the data engineers and the various needs. - What is the API for...
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