Splitting analysis along categorical features
We have seen the power of anomaly detection jobs in uncovering interesting anomalies in a single time series dataset. However, there are a few mechanisms by which the analysis can be split along a categorical field to invoke a parallel analysis across tens, hundreds, and even multiple thousands of unique entities.
Setting the split field
When using some of the job wizards (such as the Multi-metric and Population wizards), you will see an option to split the analysis:
Figure 3.23 – Splitting on a categorical field
Here, in Figure 3.23, which uses the Multi-metric wizard to build a job against the kibana_sample_data_ecommerce index, we see that the high sum function on the taxful_total_price field is being split per instance on the field called category.keyword (plus turning the Sparse data option on). In other words, the analysis will be done for every category of items in this e-commerce store (men...