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Topic

Watermarks

Watermarks shows up across 4 courses in 3 layersof the data platform stack. Here's where it's taught, a free way to practice it, and what to learn next.

Where it's taught

⇄Ingestion & Transport

Flink for Stream Processing

Event time, watermarks, state backends, checkpoints, savepoints, exactly-once sinks, Flink SQL and CDC.

12 ch · 4h 10m

1 free

Backfill Strategies for Lakehouses

Partition-aware, idempotent backfills into Iceberg/Delta alongside live streams, with reconciliation.

10 ch · 3h 30m

1 free
⚡Compute Engines

Apache Spark: Streaming

DStreams, Structured Streaming, event time, watermarks, Kafka deep integration.

20 ch · 6h 40m

1 free
⚙Orchestration & Pipelines

Idempotency and State

What 'safe to retry' actually means, where to keep state so retries don't lie, and why exactly-once is a marketing term. The six concepts senior engineers reach for without thinking.

6 ch · 1h 13m

1 free

Related topics

↗event time↗exactly-once↗idempotency↗stateful streaming↗stream processing↗backfills↗backpressure↗checkpointing↗DStreams↗flink

Start learning watermarks free

The first chapter of every course is free to read — no account needed.

Start: Flink for Stream Processing →All strata
Petascale Labs

The physics layer of data

From byte-level storage to business-grade metrics. Built with depth, not breadth.

Curriculum

Data Engineer RoadmapAll strataStorage & File FormatsIngestion & TransportOpen Table FormatsCompute EnginesOrchestration & PipelinesQuery Engines & OLAPSemantic & Metrics LayerPII & Data Governance

Tools

All toolsParquet ViewerFreeSCD PlaygroundFreePII Masking GeneratorFree

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