Stream Processing
Lab The late tap
Papers Kafka: a Distributed Messaging System for Log Processing, Large-scale Incremental Processing Using Distributed Transactions and Notifications, Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing and The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing
Included with a plan
This board is included with a plan. The first three lessons of every track are free, with their boards and videos. A plan unlocks every lesson, board, video, lab and paper for one price.
Lessons that use this board
Stream Processing. STREAM PROCESSING
process UNBOUNDED data as it arrives: events, logs, and the trouble with time
batch = a BOUNDED input, the job ends. STREAM = an UNBOUNDED input, processed increm
Saved in this browser only.