pig ☆
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Description:
Platform for analyzing large data sets
Type: Formula  |  Tracked Since: Dec 28, 2025
Links: Homepage  |  @ApachePig  |  formulae.brew.sh
Category: Developer tools
Tags: hadoop big-data data-analysis etl mapreduce
Install: brew install pig
About:
Pig is a high-level platform for analyzing large datasets stored in Hadoop's Distributed File System (HDFS). It provides a high-level scripting language called Pig Latin, which abstracts the complexity of writing complex MapReduce programs. This allows developers and data analysts to focus on the data logic rather than the intricacies of Java programming for parallel processing.
Key Features:
  • Pig Latin high-level scripting language
  • Automatic optimization of MapReduce jobs
  • Extensible through User Defined Functions (UDFs)
  • Supports both batch and interactive data processing
Use Cases:
  • ETL (Extract, Transform, Load) operations on big data
  • Data processing pipelines for Hadoop clusters
  • Rapid prototyping for data analysis algorithms
Alternatives:
  • Apache Hive – Hive uses SQL-like syntax (HQL) whereas Pig uses Pig Latin; Hive is often preferred by SQL users, Pig by procedural programmers.
  • Apache Spark – Spark offers in-memory processing which is generally faster than Pig's MapReduce backend, though Pig is often considered easier for simple scripting.
Version History
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