Insights

At Luminis Amsterdam, Search is one of our main focus points. Because of that, we closely keep an eye out for upcoming features.

Only a few weeks ago, I noticed that the following pull request (“Add field collapsing for search request”) was merged into the Elasticsearch code base, tagged for

Last week my colleague Piet claimed: “You shouldn't need several hours to understand what a method, class or package does”. Since unit tests are written in classes and methods, the same holds here. Welcome to the next episode of “reducing mental effort for software developers”.

Elasticsearch is a search solution based on Lucene. It comes with a lot of features to enrich the search experience. Some of these features have been recognised as very useful in the analytics scene as well. Interacting with elasticsearch mainly takes place using the REST endpoint.

So you want to build a recommendation engine with ALS… You search the internet for some example code in your language of choice… You copy paste the code and start tweaking… But then you realize that your data is different from all the examples you found online.

A lot of the websites out there use google analytics to track what users are doing on their website. Google has a very extensive dashboard to find a lot of information about your users. For one of our customers we needed a custom dashboard with statistics coming from different systems.

With around 6.2 million active customers, Bol.com is the number one online retailer in The Netherlands. One of the most important components of an E-commerce platform is having a good search engine. Luminis Amsterdam is helping Bol.com implement Elasticsearch for search capabilities.