Category: Analytics

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Search relevance from click streams: Using Learn To Rank and behavioral signals with OpenTelemetry

Learn how to turn click streams and behavioral signals from OpenTelemetry search analytics into judgment lists, rank features and Learn To Rank models that make search relevance improve over time.

Matthew Adams

From search to checkout in 20 lines of code: building a 4-stage conversion funnel with OpenTelemetry

Add cart and purchase tracking to your search analytics pipeline and use ES|QL to answer the question every product manager asks: which search queries drive the most revenue?

Matthew Adams

Close enough is fast enough: How ES|QL Fast mode makes Kibana dashboards up to 100x faster

Fast mode samples a fraction of the data instead of scanning all of it. This release also brings click-to-filter for ES|QL charts, query-powered controls, and cleaner metric and bar chart layouts.

Teresa Alvarez Soler

15 lines of click tracking code that tell you what search logs can't

Three ES|QL queries calculate click-through rate, mean reciprocal rank and click position distribution from your search click data, so you can pinpoint which queries need relevance tuning and where ranking improvements will have the most impact.

Matthew Adams

How to instrument your search API with OpenTelemetry and query it with ES|QL

Add custom attributes to OpenTelemetry spans and run six ES|QL queries that reveal your top searches, zero-result rate and slowest queries.

Matthew Adams

Why Elasticsearch is becoming a columnar database

Elasticsearch is becoming a first-class columnar database. Columnar Mode ships in 9.5, storing data once alongside the existing modes and cutting storage footprints while speeding up analytical queries.

Yannis Roussos

How to build search analytics on Elastic using OpenTelemetry, no extra pipeline required

How to instrument your search application to use modern Open Telemetry standard to drive insights in to your search and users.

Matthew Adams

Follow the money: tracing laundering networks with ES|QL and cross-cluster search

The data model, cross-cluster architecture and five ES|QL queries that power mule detection and laundering network tracing, built from infrastructure most financial institutions already run.

Jon Williams

Elasticsearch ES|QL: Now with Views, Subqueries, and Schema-on-Read

Query fields you never mapped, combine indices with different schemas in one pipeline, and reuse query logic as named views. ES|QL's most significant data access expansion yet.

Tyler Perkins

Improving Kibana dashboard interactivity with variable controls

Discover how to use variable controls in Kibana 8.18+ to filter individual visualizations, adjust time intervals, and group by different fields in Kibana dashboards.

Teresa Alvarez Soler

Spotify Wrapped part 2: Data analysis and visualization

We will dive deeper into your Spotify data than ever before and explore connections you didn't even know existed.

Philipp Kahr

Filtering in ES|QL using full text search

MATCH, QSTR, and KQL functions in ES|QL can be used to perform full text filtering. This article describes what they do, how they can be used, the difference with the existing text filtering methods, current limitations and future improvements.

Carlos Delgado

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