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The following commit(s) were added to refs/heads/main by this push:
     new fe041a9f0 [Minor] Update ROADMAP.md (#5572)
fe041a9f0 is described below

commit fe041a9f0b09697938492ac4f615c39281ef0a2c
Author: Justin Mclean <[email protected]>
AuthorDate: Thu Nov 14 14:12:45 2024 +1100

    [Minor] Update ROADMAP.md (#5572)
    
    ### What changes were proposed in this pull request?
    
    Update roadmap as it is out of date.
    
    ### Why are the changes needed?
    
    Give people an idea of what the project is working on and future plans.
    
    ### Does this PR introduce _any_ user-facing change?
    
    N/A
    
    ### How was this patch tested?
    
    N/A
---
 ROADMAP.md | 19 ++++++++++++++++---
 1 file changed, 16 insertions(+), 3 deletions(-)

diff --git a/ROADMAP.md b/ROADMAP.md
index f2bb88207..62e611c5e 100644
--- a/ROADMAP.md
+++ b/ROADMAP.md
@@ -24,10 +24,23 @@ As of March 2024, this is the current roadmap for the 
Apache Gravitino project.
 
 ### Q3 (July-September)
 
-Continue to improve and expand the features of Gravitino, including adding 
more functionality to the data compliance framework.
+- Implement centralized mechanisms for managing and enforcing access control 
policies across Gravitino deployments.
+- Deploy a standalone REST catalog server compatible with Iceberg.
+- Develop and release a connector for Flink, enhancing Gravitino’s 
compatibility with stream processing frameworks.
+- Enable metadata tagging for easier resource categorization and management.
+- Release Gravitino 0.6.1
 
 ### Q4 (October-December)
 
-Refine and polish Gravitino based on user feedback and market/community 
demands.
+- Provide support for Filesystem in Userspace (FUSE) and Container Storage 
Interface (CSI).
+- Introduce cloud storage support, including secure credential vending to 
simplify access management in cloud-native setups.
+- Develop and release a comprehensive auditing framework for tracking and 
logging data access.
+- Release Gravitino 0.7.0 with focus on advanced security and cloud 
integration features.
 
-Apache, Apache Doris, Apache Kafka, Apache Spark, Apache Ranger, Apache Paimon 
are either registered trademarks or trademarks of The Apache Software 
Foundation in the United States and other countries.
+## 2025 Roadmap
+
+- Streamline dataset versioning, metadata organization, and secure sharing 
across teams.
+- Add storage and indexing for vector data, improving compatibility with ML 
workflows.
+- Improve support for large text datasets tailored for LLM applications.
+
+Apache, Apache Doris, Apache Flink, Apache Iceburg, Apache Kafka, Apache 
Spark, Apache Ranger, Apache Paimon are either registered trademarks or 
trademarks of The Apache Software Foundation in the United States and other 
countries.

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