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Community Blog Series Inside Apache Flink: Decoding FLIPs 【2】
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Inside Apache Flink: Decoding FLIPs 【2】

This is Technical Insights Series by Perry Ma | Product Lead, Real-time Compute for Apache Flink at Alibaba Cloud.

FLIP-21: Making Objects Run Faster Between Flink Operators

How Flink Improves Object Handling in Streaming Runtime

FLIP-22: Flink State Pre-declaration Proposal

Improving State Management with Pre-declaration in Flink

FLIP-23: Unified Model Serving Platform - An Interesting but Abandoned Attempt

Understanding machine learning model deployment challenges through the lens of restaurant operations

FLIP-24: Making SQL Easier with Flink SQL Client

How Flink SQL Client simplifies data analysis with interactive SQL interface

FLIP-25: Automatic Expiration of State Data: Flink State TTL Mechanism

How Flink Manages State Data Expiration with Time-To-Live

FLIP-26: Comprehensive Security Framework for Flink

How Flink Implements a Bank-Level Security System

FLIP-27: Source Interface Redesign: Building a More Efficient Data Delivery System

How Flink redesigned its Source interface to create a more efficient and manageable data ingestion system

FLIP-28 & FLIP-32: Renovating the Flink Table Building

How Flink Table Module Gets a Major Architectural Upgrade

FLIP-29: Table API Enhancements in Flink

FLIP-29: Table API Enhancements in Flink

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