# Elasticsearch enrichment, join best practice

**URL:** <https://discuss.elastic.co/t/elasticsearch-enrichment-join-best-practice/298535>\
**Category:** Elasticsearch\
**Created:** [March 1, 2022, 3:57pm UTC](https://discuss.elastic.co/t/elasticsearch-enrichment-join-best-practice/298535 "2022-03-01T15:57:10Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![Petr.Simik](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/petr.simik/32/38082_2.png) [@Petr.Simik](https://discuss.elastic.co/u/Petr.Simik)\
**Post date:** [March 1, 2022, 3:57pm UTC](https://discuss.elastic.co/t/elasticsearch-enrichment-join-best-practice/298535/1 "2022-03-01T15:57:10Z")

</div>

Hi,  
how would you handle the situation  
I have a large data source of 1000tis events/sec, which I need to enrich with data so that I can do analytics on it.

The data source has a small amount of data (i.e. 100bytes) but after enrichment it is huge (1,1kb) per event. Which at 100k events/sec is a significant difference.

Huge amount of data and consumes expensive storage.  
Am I doing data enrichment correctly in processing or is it better to use another storage method for this case?

 ![image](https://us1.discourse-cdn.com/elastic/original/3X/2/1/211773a877e5d593b31aeafd4bd8c70093efe6cc.png)

---

<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [March 29, 2022, 3:57pm UTC](https://discuss.elastic.co/t/elasticsearch-enrichment-join-best-practice/298535/2 "2022-03-29T15:57:26Z")

</div>

This topic was automatically closed 28 days after the last reply. New replies are no longer allowed.
