~/talk

Big Data, No Big Deal: PySpark

Talkat PyOhio 2020 · 2020-07-25..07-26· [python, data-engineering]
links:none on file
slides:none on file

Demonstrates using PySpark to turn a single Washington Post police shootings CSV into a distributed dataset by writing it partitioned by state in parquet so Spark can run queries across many files, then creating a PySpark DataFrame that executes distributed selects, filters, group by and SQL and returns aggregated results from each partition; notes demo files remain local but scale on cloud, and shows Koalas adds pandas methods like value_counts to bridge gaps with pandas.

AI-written summary · about

  1. 0:00Intro
  2. 0:41Apache Spark
  3. 0:57Distributed Data
  4. 1:37Data Source
  5. 2:26Data Frame
  6. 3:39Koalas
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