Invention Application
- Patent Title: DISTRIBUTED DATA PROCESSING FOR MACHINE LEARNING
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Application No.: US15885395Application Date: 2018-01-31
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Publication No.: US20190095817A1Publication Date: 2019-03-28
- Inventor: Lin Ma , Jacob Leverich , Adam Oliner , Alex Cruise , Hongyang Zhang
- Applicant: Splunk Inc.
- Main IPC: G06N99/00
- IPC: G06N99/00 ; G06F17/30 ; G06F7/08 ; H04L29/06

Abstract:
Embodiments of the present invention are directed to facilitating distributed data processing for machine learning. In accordance with aspects of the present disclosure, a set of commands in a query to process at an external computing service is identified. For each command in the set of commands, at least one compute unit including at least one operation to perform at the external computing service is identified. Each of the at least one compute unit associated with each command is analyzed to identify an optimized manner in which to execute the set of commands at the external computing service. An indication of the optimized manner in which to execute the set of commands and a corresponding set of data is provided to the external computing service to utilize for executing the set of commands at the external computing service.
Public/Granted literature
- US10922625B2 Distributed data processing for machine learning Public/Granted day:2021-02-16
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