[DOCS] Added release highlights for 6.3

docs/reference/release-notes/highlights-6.3.0.asciidoc

@@ -4,17 +4,54 @@
 <titleabbrev>6.3.0</titleabbrev>
 ++++
 
-coming[6.3.0]
+Here are the highlights of features that were added in Elasticsearch 6.3.0.
 
-Each release of {es} brings new features and product improvements. Here are the 
-highlights of the features that were added in 6.3 and how the user experience 
-improved.
+Refer to the <<release-notes-6.3.0,{es} 6.3.0 release notes>> for the full list
+of changes in this release.
 
-Refer to the <<release-notes-6.3.0, {es} 6.3 Release Notes>> for a list bug 
-fixes and other changes.
+NOTE: We want your feedback on the experimental features in this release! Let
+us know what you’d like to see next and any problems you encounter.
 
 [float]
-=== Improvements to trend modeling and periodicity testing for forecasting
+=== SQL
+This experimental feature enables users who are familiar with SQL to
+use SQL statements to query Elasticsearch indices. In addition to querying
+through the SQL API, you can use the Translate API to see how SQL queries
+are translated to native ELasticsearch queries.
+
+The included SQL CLI provides a simple way to submit SQL queries to Elasticsearch.
+Similarly, the Elasticsearch JDBC driver enables you to connect your favorite
+JDBC-compatible tool to Elasticsearch.
+
+For more information, see <<xpack-sql, SQL Access>>.
+
+[float]
+=== Rollups
+This experimental feature enables you to summarize and store historical data
+so that is still available for analysis, but consumes significantly less
+storage space. This is particularly useful when you're working with monitoring
+and metrics data where it's not feasible to retain the raw data indefinitely.
+
+When you ask Elasticsearch to store a rollup of data, it also stores the underlying
+statistics. For example, if you roll up an average, the sum and count are also
+stored so that the average can be recomputed at query time. This enables you to
+query both rolled up data and “live” data simultaneously using the standard
+query DSL.
+
+For more information, see <<xpack-rollup, Rolling up historical data>>.
+
+[float]
+=== Java 10 Support
+Java 9 was a short-term release that reached EOL in March 2018. 6.3.0 introduces
+support for Java 10, which is scheduled to reach EOL in September 2018.
+
+If you are not comfortable with the rapid release cycle of Java short term
+versions (and EOL dates), you can continue to use Java 8. See the
+https://www.elastic.co/support/matrix#matrix_jvm[support matrix]
+for all of the JVM options for Elasticsearch.
+
+[float]
+=== Improved trend modeling and periodicity testing for forecasting
 
 {stack-ov}/ml-overview.html#ml-forecasting[Forecasting] is now more reliable and 
 has greatly improved confidence intervals--particularly for longer time ranges.