docs: update roadmap (#3543)

Author: mbutrovich

docs/source/contributor-guide/roadmap.md

@@ -26,11 +26,11 @@ helpful to have a roadmap for some of the major items that require coordination
 
 ### Iceberg Integration
 
-Iceberg integration is still a work-in-progress ([#2060]), with major improvements expected in the next few
-releases. The default `auto` scan mode now uses `native_iceberg_compat` instead of `native_comet`, enabling
-support for complex types.
+Iceberg tables reads are now fully native, powered by a scan operator backed by Iceberg-rust ([#2528]). We anticipate
+major improvements expected in the next few releases, including bringing Iceberg table format V3 features (_e.g._,
+encryption) to the reader.
 
-[#2060]: https://github.com/apache/datafusion-comet/issues/2060
+[#2528]: https://github.com/apache/datafusion-comet/pull/2528
 
 ### Spark 4.0 Support
 
@@ -40,6 +40,17 @@ more Spark SQL tests and fully implementing ANSI support ([#313]) for all suppor
 [#313]: https://github.com/apache/datafusion-comet/issues/313
 [#1637]: https://github.com/apache/datafusion-comet/issues/1637
 
+### Dynamic Partition Pruning
+
+Iceberg table scans support Dynamic Partition Pruning (DPP) filters generated by Spark's `PlanDynamicPruningFilters`
+optimizer rule ([#3349]). However, we still need to bring this functionality to our Parquet reader. Furthermore,
+Spark's `PlanAdaptiveDynamicPruningFilters` optimizer rule runs after Comet's rules, so DPP with Adaptive Query
+Execution requires a redesign of Comet's plan translation. We are focused on implementing DPP to keep Comet competitive
+with benchmarks that benefit from this feature like TPC-DS. This effort can be tracked at [#3510].
+
+[#3349]: https://github.com/apache/datafusion-comet/pull/3349
+[#3510]: https://github.com/apache/datafusion-comet/issues/3510
+
 ### Removing the native_comet scan implementation
 
 The `native_comet` scan implementation is now deprecated and will be removed in a future release ([#2186], [#2177]).