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Abstract
The z/TPF real-time insights dashboard starter kit provides an example real-time analytics pipeline for data science analysis.
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This starter kit provides an example of how to use statistical analysis, machine learning, and other forms of analysis to understand and diagnose system resource usage issues quickly. Understanding and diagnosing system resource usage more quickly can help limit impacts on service level agreements and optimize business decisions. Additionally, you can use this analytics pipeline to feed data to monitors or databases for long-term storage and analysis.
One of the primary goals of this starter kit is to make it as easy as possible to adopt and run the first time. Therefore, Docker is used extensively to install and configure the various components.
One of the primary goals of this starter kit is to make it as easy as possible to adopt and run the first time. Therefore, Docker is used extensively to install and configure the various components.
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Document Location
Worldwide
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Document Information
Modified date:
13 June 2024
UID
ibm11142674