# Functional use cases

Functional use cases of Ylem represent how our framework for creating and running pipelines can be used for:

* Streaming from different sources to different destinations
* Data orchestration, filtering, cleaning, transforming, enriching, and ingestion
* Various types of on-fly calculations, monitoring, and reporting

<table data-view="cards"><thead><tr><th></th><th data-hidden></th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><strong>Streaming from Apache Kafka and messaging queues</strong></td><td></td><td></td><td><a href="/pages/ZGasqexhsD7vMUofvXXV">/pages/ZGasqexhsD7vMUofvXXV</a></td><td><a href="/files/OzeEdtIF57JmLhPYdH9d">/files/OzeEdtIF57JmLhPYdH9d</a></td></tr><tr><td><strong>Streaming from APIs</strong></td><td></td><td></td><td><a href="/pages/GYEvtg3BDNzaNvzVcS0V">/pages/GYEvtg3BDNzaNvzVcS0V</a></td><td><a href="/files/WYzQOipVWFf5bSfoPVQ7">/files/WYzQOipVWFf5bSfoPVQ7</a></td></tr><tr><td><strong>Streaming from databases</strong></td><td></td><td></td><td><a href="/pages/eNzw0enkida2Z1Qr2pNw">/pages/eNzw0enkida2Z1Qr2pNw</a></td><td><a href="/files/mvk78yFjhL7HaWpcMiOH">/files/mvk78yFjhL7HaWpcMiOH</a></td></tr><tr><td><strong>Data orchestration, transformation and processing</strong></td><td></td><td></td><td><a href="/pages/MOQDZZhyns4prxKiut2o">/pages/MOQDZZhyns4prxKiut2o</a></td><td><a href="/files/umU1av2NoTfLXfBX6HZM">/files/umU1av2NoTfLXfBX6HZM</a></td></tr><tr><td><strong>Usage of Python and Pandas</strong></td><td></td><td></td><td><a href="/pages/H89mbiJzzf4AxfrUo27T">/pages/H89mbiJzzf4AxfrUo27T</a></td><td><a href="/files/jNpRw7OAoOQGVvsZiEbK">/files/jNpRw7OAoOQGVvsZiEbK</a></td></tr><tr><td><strong>KPI Monitoring</strong></td><td></td><td></td><td><a href="/pages/8mLMuLMXu6Rwbbsut37K">/pages/8mLMuLMXu6Rwbbsut37K</a></td><td><a href="/files/7OulViwdn3WYtInVh0Sr">/files/7OulViwdn3WYtInVh0Sr</a></td></tr><tr><td><strong>OKRs and custom metrics</strong></td><td></td><td></td><td><a href="/pages/F5qd1Ri0DSG8MYJTGSXN">/pages/F5qd1Ri0DSG8MYJTGSXN</a></td><td><a href="/files/M9TiCcGVG4Wrj5K6HUNF">/files/M9TiCcGVG4Wrj5K6HUNF</a></td></tr><tr><td><strong>Data Issues &#x26; Incidents</strong></td><td></td><td></td><td><a href="/pages/igWIzjIm4dOImfaYA26G">/pages/igWIzjIm4dOImfaYA26G</a></td><td><a href="/files/2rYzvTD7kzHe9D2AZpk2">/files/2rYzvTD7kzHe9D2AZpk2</a></td></tr><tr><td><strong>Reporting</strong></td><td></td><td></td><td><a href="/pages/DdrdQ45SpjsuX6piiCwa">/pages/DdrdQ45SpjsuX6piiCwa</a></td><td><a href="/files/b5B6hdEaEg9TAWFueSZW">/files/b5B6hdEaEg9TAWFueSZW</a></td></tr><tr><td><strong>Other functional use-cases</strong></td><td></td><td></td><td><a href="/pages/KZq4a1n9reFbBZYgE8pa">/pages/KZq4a1n9reFbBZYgE8pa</a></td><td><a href="/files/rJuzMwK8zeiVIYIMrKNt">/files/rJuzMwK8zeiVIYIMrKNt</a></td></tr></tbody></table>


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