ElasticSearch in Python #23 - Time Series Data Stream TSDS

Hello everyone! Today, I'll be discussing the Time Series Data Stream in Elasticsearch.

When we talk about time series, we mean data points ordered by time. This data is collected at consistent intervals; for instance, monitoring CPU usage over time.

Managing time series data can be challenging due to its rapid growth, especially with high-frequency measurements. Another challenge is storing such a large volume of data. Eventually, you’ll need to decide whether to archive or delete older data to manage storage effectively.

By the end of this video, you'll understand what it is and when to leverage it.

Here is the link to the GitHub repository:

Useful links:

Don't forget to like, subscribe, and leave a comment if you have any questions or feedback!

Support us at:

⭐️ Contents ⭐️
(00:00) Intro + slides
(04:44) Code time
(16:43) The end

#3_code_campers #ElasticSearch #ElasticSearchPython