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Explore a conference talk that delves into leveraging "Big Data" tools for analyzing Ftrace data, making the process both efficient and user-friendly. Learn how sophisticated analysis via scripting can be achieved by utilizing existing infrastructure developed for the "Big Data" and ML industries. Discover a proof-of-concept interface for accessing Ftrace data in Python using NumPy arrays, implemented as an extension of KernelShark. Gain insights into the potential of this approach through practical examples of analysis scripts and understand the ongoing development efforts to create a seamless solution for experts in the field.
