In January 2021, we announced that starting with version 7.11, we would be changing the Apache 2.0 portions of Elasticsearch and Kibana source code to be dual licensed under Elastic License and SSPL, at the users’ discretion. As part of that change, we created Elastic License 2.0 (ELv2) as a permissive, fair-code license, which allows free use, redistribution, modification, and derivative works, with only three simple limitations, outlined in our original announcement.
Creating an entity-centric index that contains only the latest document for each entity can be useful in a number of situations. For example, maybe you're managing an ecommerce site and you want to track the latest order placed by each of your customers. Or maybe you want to run a campaign targeting customers who haven't been active over a certain period. What's the fastest and most efficient way to compile and organize such data?
Collin’s dictionary defines “behavior pattern” as a recurrent way of acting by an individual or group toward a given object or in a given situation. Analyzing and understanding the behavior patterns of individuals has proven to provide in-depth solutions to problems in different walks of life, including cybersecurity.
In our last episode, I wrote about some speed improvements to date_histogram and I was beside myself with excitement to see if I could apply the same principles to other aggregations. I've spent most of the past few months playing a small part developing runtime fields but eventually I found time to take a look at the terms aggregation.
