Research & Analytics – Page 2

https://commons.wikimedia.org/wiki/File:Vue_a%C3%A9rienne_raproch%C3%A9e_du_grand_r%C3%A9cif_de_Gatope_et_son_trou_bleu.jpg

Wikimedia’s Event Data Platform – JSON & Event Schemas

In the previous post, we talked about why Wikimedia chose JSONSchema instead of Avro for our Event Data Platform. This post will discuss the conventions we adopted and the tooling we built to support an Event Data Platform using JSON and JSONSchema.

https://commons.wikimedia.org/wiki/File:Dobson_Stream_by_Wharfedale_hut_with_the_moon,_Mt_Oxford_area,_Canterbury,_New_Zealand.jpg

Wikimedia’s Event Data Platform, or JSON is ok too

The Wikimeda Foundation has been working with event data since 2012. Over time, our event collection systems have transitioned from being used only to collect analytics data to being used to build important user facing features. This 3 part series will focus on how Wikimedia has adapted these ideas for our own unique technical environment.

Saying no to proprietary code in production is hard work: the GPU chapter

Maintaining and improving one of the largest websites in the world using Open Source software requires a continuous commitment. The site is always evolving, so for every new component we want (or need!) to deploy, we need to evaluate the Open Source solutions available.