windows

DE//AGENT currently lists 2 resources under windows: 2 tutorials. Everything below is derived from the live registry — counts, capabilities, verification state and security posture come from the curated records, never from marketing copy.

Documented learning objectives across these resources:

• Read p50 vs p99 task durations to confirm an aggregation is skewed — via Aggregations and windows without the skew
• Salt a hot key and aggregate twice — via Aggregations and windows without the skew
• Right-size partitions when an oversized aggregate spills — via Aggregations and windows without the skew
• Choose event-time vs processing-time windows — via Window a stream correctly — watermarks, dedupe, and late data
• Set a watermark and reason about late data — via Window a stream correctly — watermarks, dedupe, and late data
• Run a structured-streaming job with checkpointing and an idempotent MERGE sink — via Window a stream correctly — watermarks, dedupe, and late data

These resources map to stages: Data Processing (1), Streaming (1). Follow the four-phase roadmap to place this topic inside a progression instead of learning it in isolation.

Every entry, its shape and its trust state — sorted by the registry's composite score. This table is the honest version of a marketing comparison: no sponsored placements, no unverifiable claims.

How scores are computed: source quality score.

Highest composite score first:

1. Aggregations and windows without the skew score 34.15 — intermediate
2. Window a stream correctly — watermarks, dedupe, and late data score 34.15 — intermediate

Scores rank provenance, completeness and trust — read how verification works before adopting anything.

• Aggregations and windows without the skew — Aggregations and windows are shuffles in disguise. Treat the group-by key as a skew suspect, read p50 vs p99 and the spill bytes, then apply the matching fix — a salted two-stage a… details
• Window a stream correctly — watermarks, dedupe, and late data — Stream processing in practice: start from the kafka-streaming template, pick event-time over processing-time windows, set a watermark you can defend, and prove what happens to late… details

Adjacent topics: tutorial (2 shared).

Study path: the roadmap places this topic in a progression · the scoring model explains the numbers · the trust rule catalog shows every security check these entries passed through.