Graph & Beyond Lunch Break #15.5: Aggregating Time-Series Data with AQL

The new WINDOW operation added to AQL in ArangoDB 3.8 allows you to compute running totals, rolling averages, and other statistical properties of your sensor, log, and other data. You can aggregate adjacent documents (or rows if you will), as well as documents in value or duration ranges with a sliding window.

In this special 3.8 release lunch break session, we take a look at the two syntax variants of the WINDOW operation and go over a few examples queries with visual explanations.

Simran Brucherseifer

Simran Spiller

About the Presenter:

Simran is a data modeling and migration enthusiast with a cultural sciences background. He is responsible for ArangoDB’s documentation, helps out with design questions, and supports the community, especially with AQL and JavaScript.

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