A look at Flink’s internal data structures & algorithms for efficient checkpointing - Stefan Richter
Apache Flink in Production with Ververica Platform - Seth Wiesman
Checkpoints and Recovery | Apache Flink 101
The Flink Job Lifecycle
From Streams to Tables and Back Again: A Demo of Flink’s Table & SQL API - Timo Walther
A deep dive into Flink SQL - Jark Wu, Kurt Young
Apache Kafka: a Distributed Messaging System for Log Processing
Apache Kafka Fundamentals You Should Know
Connecting Apache Flink and the Pravega Stream Store - Flavio Junqueira & Stephan Ewen
Panta Rhei: designing distributed applications with streams. - Aris Koliopoulos & Alex Garella
Fixing Flink's Pattern Detection: How to Capture All Matches Efficiently
Drivetribe’s Kappa Architecture With Apache Flink® - Aris Koliopoulos (Drivetribe)
Looking for patterns with Flink CEP library - Dawid Wysakowicz (GetInData)
Data Contracts In Practice With Debezium and Apache Flink (Gunnar Morling, Decodable) | Current 24
Complex Event Processing with Flink: the state of FlinkCEP - Kostas Kloudas (data Artisans)
Scaling stream data pipelines - Till Rohrmann & Flavio Junqueira
How to build a modern stream processor: The science behind Apache Flink - Stefan Richter
Understanding the Flink Table API DataType Packages: A Guide to Their Relationships
Rundown of Flink's Checkpoints
Which Data Format Should I Use in Apache Kafka? (Maria Berinde-Tampanariu, Confluent) | Current 24
