Pig | Yahoo! Research
We are creating infrastructure to support ad-hoc analysis of very large data sets. Parallel processing is the name of the game. Our system runs on a cluster computing architecture, on top of which sit several layers of abstraction that ultimately bring the power of parallel computing into the hands of ordinary users. The layers in between automatically translate user queries into efficient paralle
Hive vs Pig for HadoopSourceCodeReading
The document provides information about Hive and Pig, two frameworks for analyzing large datasets using Hadoop. It compares Hive and Pig, noting that Hive uses a SQL-like language called HiveQL to manipulate data, while Pig uses Pig Latin scripts and operates on data flows. The document also includes code examples demonstrating how to use basic operations in Hive and Pig like loading data, perform
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