Managing State in Apache Flink - Tzu-Li (Gordon) Tai
Flink Forward Berlin, September 2017 #flinkforward Tzu-Li (Gordon) Tai, Software Engineer at data Artisans Over the past year, we've seen users build entire event-driven applications such as social networks on top of Apache Flink (Drivetribe.com), elevating the importance of state management in Flink to a whole new level. Users are placing more and more data as state in Flink, using it as a replacement to conventional databases. With such mission-critical data entrusted to Flink, we need to provide similar capabilities of a database to users. One of such capabilities is being flexible in how data is persisted and represented. Specifically, how can I change how my state is serialized and stored, or even the schema of my state, as business logic changes over time? In this talk, we'll provide details on the latest state management features in Flink that allows users to do exactly that. We'll talk about how Flink manages the state for you, how it provides flexibility to the user to adapt to evolving state serialization formats and schemas, and the best practices when working with it. https://www.slideshare.net/FlinkForwa... https://data-artisans.com/

Webinar: Deep Dive on Apache Flink State - Seth Wiesman

Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger • GOTO 2019

Unlocking the Power of Apache Flink: An Introduction in 4 Acts

Apache Flink + MCP Demo - Real-time data processing using Gemini AI Agent

Apache Flink 101 | Building and Running Streaming Applications

From Query to Kafka; How does Apache Flink actually work? by DANNY CRANMER

Webinar: 99 Ways to Enrich Streaming Data with Apache Flink - Konstantin Knauf

Apache Flink Worst Practices - Konstantin Knauf

Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools

Apache Flink - A Must-Have For Your Streams | Systems Design Interview 0 to 1 With Ex-Google SWE

#FlinkForward SF 2017: Stephan Ewen - Experiences running Flink at Very Large Scale

Robust Stream Processing with Apache Flink

Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

CDC Stream Processing with Apache Flink

Event Time and Watermarks | Apache Flink 101

I Think They Are Lying To You

Watermarks: Time and Progress in Apache Beam and Beyond

Streaming Event-Time Partitioning With Apache Flink and Apache Iceberg - Julia Bennett

Stateful Streams to the Next Level with Apache Kafka & Apache Flink - Kafka Summit 2018

