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Feb 22, 2021 · Apache Pig is a high-level language and infrastructure for parallel data analysis, based on Map-Reduce. Learn how to use Pig, get involved in the project, and see the latest news and releases.
May 14, 2023 · Features of Apache Pig: For performing several operations Apache Pig provides rich sets of operators like the filtering, joining, sorting, aggregation etc. Easy to learn, read and write. Especially for SQL-programmer, Apache Pig is a boon.
Apache Pig is an abstraction over MapReduce. It is a tool/platform which is used to analyze larger sets of data representing them as data flows. Pig is generally used with Hadoop; we can perform all the data manipulation operations in Hadoop using Pig.
- Overview
- Table of Contents
- Features of Pig
- Pig vs MapReduce
- Pig Grunt Shell Commands
- Pig Latin Script Example
- Endnotes
- GeneratedCaptionsTabForHeroSec
If we see the top-level overview of Pig, then Pig is an abstraction over MapReduce. Pig runs on Hadoop. So, it makes use of both the Hadoop Distributed File System (HDFS) and Hadoop’s processing system, MapReduce. Data flows are executed by an engine. It is used to analyze data sets as data flows. It includes a high-level language called Pig Latin ...
Features of PigPig vs MapReducePig ArchitecturePig Execution OptionsLet’s look at some of the features of Pig. 1. It has a rich set of operators such as join, sort, etc. 2. It is easy to program as it is similar to SQL. 3. The tasks in Apache Pig have been converted into MapReduce jobs automatically. The programmers need to focus only on the semantics of the language and not on MapReduce. 4. Own functions can be cr...
Let’s see the difference between Pig and MapReduce. Pig has several advantages over MapReduce. Apache Pig is a data flow language. It means that it allows users to describe how data from one or more inputs should be read, processed, and then stored to one or more outputs in parallel. While MapReduce on the other hand is a programming style. Apache ...
Grunt shells can be used to write Pig Latin scripts. The shell commands can be invoked by using fs and sh commands. Let’s see some basic Pig commands.
We have a people file that has employee id, name, and hours as fields. First, load this data into a variable employee. Filter it by hours less than 20 and store in parttime. Order parttime by descending order and store it in another file called part_time. Display the contents. The script will be
These are some of the basic concepts of Apache Pig. I hope you enjoyed reading this article. Start practising with Cloudera environment.
Learn what Apache Pig is, how it works, and its features and advantages over MapReduce. This article covers Pig architecture, execution options, commands, data types, operators, and a script example.
Apache Pig is a high-level platform for creating programs that run on Apache Hadoop. The language for this platform is called Pig Latin. Pig can execute its Hadoop jobs in MapReduce, Apache Tez, or Apache Spark.
Feb 22, 2021 · Apache Pig is a platform that uses Pig Latin, a simple query algebra, to transform and process large data sets on a Hadoop cluster. Learn more about Pig's features, functions, and applications from the Pig wiki.
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Jun 20, 2017 · Learn how to install, build, run and use Apache Pig, a high-level data-flow language for Hadoop. Explore Pig Latin statements, modes, execution, debugging, properties and examples.
