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Prerequisites
The reader of this document should be familiar with:
- Apache Kafka (http://kafka.apache.org)
- Apache Spark (http://spark.apache.org)
Terms and Acronyms
This section contains glossaries for all terms and acronyms used throughout the KPI Management and documentation documentation.
KPI Management Terms and Acronyms
| Term/Acronym | Definition | ||
|---|---|---|---|
| Dimension | A dimension represents a category in a data set and is used for grouping of KPIs. | ||
| KDR | A UDR type that holds the source data for KPI calculations. The decoded input to the workflow is represented as key-value pairs in the UDR, which can then be referenced in a service model. | ||
| KPI | A Key Performance Indicator (KPI) is a measurable value that demonstrates how effectively an organization is achieving key business objectives. A KPI in is KPI is derived and calculated by aggregating metrics in a dimension over a specified period of time. | ||
| Metric | A metric is the result of a calculation based on one or more values in the KDRs. Various functions define how these values should be aggregated in each period. | ||
| Service Model | A service model is set of objects that defines dimensions, metrics, trees, and KPIs and the relation between these entities. | ||
| Tree | A tree is a representation of a set of paths to dimensions in a service model. | ||
| Period | Metrics are aggregated in discrete periods. The length of these periods is determined by properties in the service models. | Spark Application | KPI Management includes a generalized Spark application that provides distributed data acquisition from Kafka, KPI calculations, and output to Kafka. Launching this application is referred to as "submitting" it to the Spark cluster. |
General Terms and Acronyms
For information about general Terms and acronyms used in this document, see the /wiki/spaces/MD82/pages/3781803 document.
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ChaptersThe following chapters are included: |
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