Data DevOps is Real!
DevOps today is mostly associated with service and web-based applications. With the advent of ML and AI, data is now capable of driving innovation, thereby creating new markets and revenues. Iterative Agile development along with secure CI/CD is now evolving as part of data driven development. It becomes important to abstract these intricacies of Data DevOps including Scheduling and Monitoring, enabling data developers to focus on business models.
Data DevOps is not just about technology but a shift in development culture. In this talk, Karthikeyan will share PayPal's journey on building a governed Data DevOps platform for thousands of its data engineers and scientists.
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