Introducing the basics of Elastic Graph
Elastic Graph was created to reveal significant relations between data, so that we can see how the variables in question interact. It forms recommendations based on these relations. Data is highly connected, either implicitly or explicitly. These connections can be represented as a graph. Graph based data analysis provides unique insights based on the use case:
In a search use case, using a graph, the search experience could be enhanced if the user gets related content based on the query they submitted. This is typically what we could see on an e-commerce website; for example, when purchasing a phone, you could get related accessories. But in the context of Elasticsearch, based on the click stream on a website, the user could get real-time, relevant, and significant suggestions based on his purchase behavior.
In the security analytics use case, suspicious connections could be proactively detected based on the logged data. If we have all the access logs...
