Overview

This section talks a bit about some of the use cases that can be solved using Dagger with some examples.

Stream Enrichment

Enrichment of streaming Data with external more static Data sources is seamless in Dagger and is just writing a few configuration. We will explain this in more details with some example.

Feature Ingestion

Realtime feature generation is really important for online machine learning pipelines. Dagger can be a great tool for feature ingestion.

API Monitoring

Behind every great API is a reliable uptime monitoring system. But knowing/monitoring health of API metrics in real time is tricky. With Dagger this can be easily solved by writing some simple queries.