Project SherlockEst. Knowledge

Paper

2013

MillWheel: Fault-Tolerant Stream Processing at Internet Scale

Tyler Akidau et al.

Shows exactly-once processing over out-of-order streams is achievable at scale by tracking a low watermark per record rather than relying on synchronised clocks.

Before you start

FreeAdvancedlink checked 17 Sept 2026

Read these first

Not a difficulty warning — a route. These are in the library too.

MapReduce: Simplified Data Processing on Large ClustersJeffrey Dean & Sanjay Ghemawat, 2004Shows that a huge class of data-processing jobs can be expressed as two functions, letting the runtime handle parallelism, failure and data placement.

Filed under Distributed Systems in Computer Science.