@@ -170,29 +170,6 @@ FlinkDotNet provides **100% feature parity** with Apache Flink 1.0-2.1, implemen
170170| ** 2.0** | Mar 2025 | ✅ ** 100%** | Disaggregated State Management, Unified Batch/Stream, API Overhaul |
171171| ** 2.1** | Jul 2025 | ✅ ** 100%** | AI/ML Integration, VARIANT Type, PTFs, Performance & Format |
172172
173- ### Feature Categories (21/21 Complete - 100% 🎉)
174-
175- ** P0 Features (Critical - ALL COMPLETE)** :
176- - ✅ ** Unified Sink API v2** (WI6, Flink 1.20) - Modern sink pattern replacing SinkFunction
177- - ✅ ** Materialized Tables** (WI7, Flink 1.20) - Declarative ETL with auto-refresh
178- - ✅ ** AI/ML Integration** (WI8-WI9, Flink 2.1) - CREATE MODEL, ML_PREDICT, AI providers (OpenAI, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Hugging Face)
179-
180- ** P1 Features (High Priority - ALL COMPLETE)** :
181- - ✅ ** VARIANT Data Type** (WI10, Flink 2.1) - Semi-structured JSON data handling
182- - ✅ ** Table API & Advanced SQL** (WI10, Flink 2.1) - All 7 sub-features complete
183- - ✅ ** Process Table Functions (PTFs)** (WI10, Flink 2.1) - Advanced table processing
184- - ✅ ** Apache Paimon** (WI13, Flink 1.15-1.18) - Lakehouse storage integration
185- - ✅ ** Observability Testing** (WI11) - Comprehensive test coverage and monitoring
186- - ✅ ** Catalog API** (WI14, Flink 1.10) - Hive/JDBC/GenericInMemory catalog management
187- - ✅ ** Unified Source API** (WI15, Flink 1.12) - FLIP-27 modern source connector framework
188-
189- ** P2 Features (Medium Priority - ALL COMPLETE)** :
190- - ✅ ** Performance & Format** (WI12, WI16, Flink 2.1) - All 4 sub-features complete:
191- - ✅ Custom Async Sink Batching (WI12)
192- - ✅ State Backend Configuration (WI16)
193- - ✅ Smile Format for Compiled Plans (WI16)
194- - ✅ MultiJoin Optimization (WI16)
195-
196173## Learn FlinkDotNet
197174
198175** [ LearningCourse] ( LearningCourse/README.md ) ** provides a 15-day hands-on course covering:
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