spark-basics

Name: spark-basics
Availability: InStock
Author: timequity

Official

Master PySpark for distributed data processing.

Data & Analytics #etl #spark #pyspark #data-processing

Authortimequity

Version1.0.0

Installs0

System Documentation

What problem does it solve?

PySpark basics for distributed data processing, enabling scalable ETL.

Core Features & Use Cases

Creating SparkSession
Reading data in CSV, Parquet, JSON, Delta
Transformations: select, filter, aggregate
Writing data and optimization tips

Quick Start

Create a SparkSession and run a few simple reads and transforms on a sample dataset.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Name: spark-basics
Download link: https://github.com/timequity/plugins/archive/main.zip#spark-basics

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