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Remove completed feature categories from README
Removed feature categories section detailing completed features and priorities.
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README.md

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

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