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Apache Flink
Intro
Welcome (11:58)
Scala Recap (31:04)
Flink: First Principles (16:41)
Flink Essential Streams
DataStreams (14:14)
DataStreams: Exercise (15:06)
DataStreams: Explicit Transformations (14:56)
Handling Late Data: Watermarks (5:21)
Window Functions (28:54)
Window Functions, Part 2 (26:32)
Window Functions: Exercise (12:47)
Time Based Transformations (33:14)
Triggers (16:37)
Handling Multiple Streams (33:35)
Partitions (14:32)
Stateful Streams
State First Principles (3:54)
Rich Functions (22:03)
Keyed State (24:03)
Keyed State, Part 2 (19:20)
Checkpoints (20:15)
Broadcast State (18:34)
Flink Integrations and IO
Integrations: Kafka (25:06)
Integrations: JDBC (12:10)
Integrations: Cassandra (9:43)
Custom Sources (24:10)
Custom Sinks (16:46)
Side Outputs (8:06)
Flink Operational Essentials
How Flink Runs on a Cluster (7:16)
Managing and Submitting Applications (13:47)
Managing Applications in the Flink UI (9:46)
Epilogue
You Rock! (0:30)
Keyed State
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