Added release highlights to ESQL

The original PR was labeled `release highlight` but did not yet have the highlight text.
This PR adds a first draft of that text, extracted from the ESQL blog.

docs/changelog/94607.yaml

@@ -15,4 +15,4 @@ highlight:
     changed, from picking the shard that uses the most RAM to going over shards in a round-robin
     fashion. This approach has proved to work significantly better in practice.
 
-  notable: true
+  notable: false

docs/changelog/98309.yaml

@@ -1,5 +1,33 @@
 pr: 98309
 summary: "Integrate Elasticsearch Query Language, ES|QL"
-area: Query Languages
+area: ES|QL
 type: feature
 issues: []
+highlight:
+  title: Introducing ES|QL — A new query language for flexible, iterative analytics
+  body: |-
+    As the Elastic Platform has become more widely adopted for search, security, observability, and general analytics,
+    analyst users require the ability to take data-as-ingested, transform it to fit their investigative needs
+    post-ingestion, and derive insights from underlying Elasticsearch index data. They need a concise, integrated,
+    and efficient workflow enabled by rich and expressive queries where search, filter, aggregation,
+    and transformation are performed via a single query expression with little-to-no UI context switching.
+
+    To solve these challenges, the Elastic team is developing the <<esql,Elasticsearch Query Language (ES|QL)>>.
+    ES|QL provides Elastic users with a flexible, powerful, and robust query expression language to interrogate data.
+    ES|QL also provides a superior query UX with post-ingest processing capabilities that fundamentally transforms
+    and expands the analytics and data processing capabilities of Elasticsearch.
+
+    ES|QL introduces distributed compute capabilities to users in disparate roles and with varying skill levels.
+    These compute capabilities enable ES|QL to simplify user workflows in several key ways.
+
+    * Utilize a superior query UX: ES|QL query expressions support complex analytics and data processing.
+      They are easy to learn, read, and share.
+    * Use the filter, aggregation, and transformation capabilities of Elasticsearch with subqueries and lookups,
+      made possible by new Elasticsearch compute and data processing capabilities.
+    * Use ES|QL across Kibana in Discover, Kibana Lens, and Elastic Solutions, giving you seamless workflows.
+      You will be able to visualize ES|QL queries, share them with teams on dashboards or as queries,
+      and use queries to create custom alerts.
+
+    [role="screenshot"]
+    image:images/esql/illustration_esql_kibana_wireframe.png[ES|QL usage in Kibana Discover]
+  notable: true