Trying out cloud native analytics
In order to process data into useful analytics results, the various cloud native analytics algorithms train
automatically in the background on a regular basis by processing a predefined set of historical
data. If, alternatively, you want to try out cloud native analytics with sample data sets and
see the results immediately then you can use the manual procedures provided in this
section.
Extracting historical data from a reporter database for cloud native analytics training cloud native analytics , you can install a historical data set to train the system. Learn how to extract historical data from a reporter database, such as Oracle.Training with sample data cloud native analytics , you can install a sample data set. Learn how to install and load sample data, train the system, and see the results.Training with local data cloud native analytics , you can install a local data set. Learn how to install and load your local data, train the system, and see the results.Training with topology and event data cloud native analytics , you can install topology and event data sets. Learn how to install and load topology and event data, train the system and see the results. Loading historical data from a CSV file ea-events-tooling container as an alternative method to import real historical data. You might need to do this if there are firewall restrictions around your database servers, or if your database technology is not supported.Training with real event data Training on metric data metric anomaly detection to train on metric data that is sent to Netcool Operations Insight .