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dataentity · one source so far

pyspark

for data engineers, devops

Steadystackoverflow
Signal score
7
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 7

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+10.8 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+0.1 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty−3.6 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite7.3

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Signal history

7-day window (free)
711

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 1
    19

    Apache Spark, PySpark can't write a file on disk

    Spark jobs failing to write files can stall pipelines in containerized environments. · for data engineers, devops

    stackoverflowSteadydata1h ago
  2. 2
    15

    How to Pass and Reference Multiple Batches in a Great Expectations Custom SQL Query

    Explains passing and referencing multiple batches in Great Expectations on Azure Databricks via PySpark SQL. · for data engineers

    stackoverflowSteadydata13d ago