Invention Grant
- Patent Title: Systems and methods for memory optimization interest-driven business intelligence systems
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Application No.: US15904252Application Date: 2018-02-23
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Publication No.: US10977280B2Publication Date: 2021-04-13
- Inventor: Kevin Scott Beyer , Mayank Pradhan , Vignesh Sukumar
- Applicant: Workday, Inc.
- Applicant Address: US CA Pleasanton
- Assignee: Workday, Inc.
- Current Assignee: Workday, Inc.
- Current Assignee Address: US CA Pleasanton
- Agency: Van Pelt, Yi & James LLP
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06F16/28 ; G06F16/25

Abstract:
Systems and methods for optimizing memory in an interest-driven business intelligence system in accordance with embodiments of the invention are illustrated. A dictionary for storing values of a dataset may be partitioned in accordance with some embodiments. The partitions of the dictionary may be generated by mapping and reducer processes. The mapping processes receive a value, determine the dimension of the data to which the value belongs, and provides the value to a reducer process that handles the determined dimension. Each reducer process generates partitions of the dictionary for each dimension. The number of values in each partition is determined and compared to a threshold value. Partitions that have a number of values greater than the threshold are stored in a common memory. Partitions smaller than the threshold value can be combined with other partitions such that the cardinality of the combined partition exceeds the threshold value.
Public/Granted literature
- US20180373777A1 SYSTEMS AND METHODS FOR MEMORY OPTIMIZATION INTEREST-DRIVEN BUSINESS INTELLIGENCE SYSTEMS Public/Granted day:2018-12-27
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