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May 14, 2023 · Learn what Apache Pig is, how it works, and why it is used for processing big data. Apache Pig is a high-level platform that provides a scripting language, Pig Latin, and a Pig Engine to run MapReduce jobs on large datasets.
Learn Pig, a high-level data flow platform for executing MapReduce programs of Hadoop, with examples and concepts. Pig can handle any type of data, provide nested data types, and optimize execution.
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 on Spark, read the documentation, find training resources, and join the community.
- What Is Pig in Hadoop?
- Components of Pig
- Salient Features of Pig
- Data Model in Pig
- Pig vs. SQL
- Loading and Storing Methods in Pig
- Pig Script Interpretation
- Various Relations Performed by Developers
- Getting Datasets For Pig Development
- GeneratedCaptionsTabForHeroSec
Pig is a scripting platform that runs on Hadoopclusters designed to process and analyze large datasets. Pig is extensible, self-optimizing, and easily programmed. Programmers can use Pig to write data transformations without knowing Java. Pig uses both structured and unstructured data as input to perform analytics and uses HDFSto store the results.
There are two major components of the Pig: 1. Pig Latin script language 2. A runtime engine Pig Latin script language The Pig Latin script is a procedural data flow language. It contains syntax and commands that can be applied to implement business logic. Examples of Pig Latin are LOAD and STORE. A runtime engine The runtime engine is a compiler th...
Developers and analysts like to use Pig as it offers many features. Some of the features are as follows: 1. Provision for step-by-step procedural control and the ability to operate directly over files 2. Schemas that, though optional, can be assigned dynamically 3. Support to User Defined Functions, or UDFs, and to various data types
As part of its data model, Pig supports four basic types. 1. Atom: It is a simple atomic value like int, long, double, or string. 2. Tuple: It is a sequence of fields that can be of any data type. 3. Bag: It is a collection of tuples of potentially varying structures and can contain duplicates. 4. Map: It is an associative array. The key must be a ...
Given below are some differences between Pig and Sql. Now that we have gone through the differences between Pig and SQL, let us now understand further with an example.
In order to load and store data in the Pig engine, we use loading and Storing methods as explained below.
Pig processes Pig Latin statements in the following manner: 1. Pig validates the syntax and semantics of all statements. 2. It type checks with the schema. 3. It verifies references. Pig performs limited optimization before execution. 4. If Pig encounters a DUMP or STORE, it will execute the statements. A Pig Latin script execution plan consists of...
Some of the relations performed by Big Data and Hadoop Developers are: 1. Filtering: Filtering refers to the filtering of data based on a conditional clause, such as grade and pay. 2. Transforming: Transforming refers to making data presentable to extract logical data. 3. Grouping: Grouping refers to generating a group of meaningful data. 4. Sortin...
These are some of the popular URLs shown to download different datasets for Pig development. To summarize the tutorial: 1. Pig in Hadoop is a high-level data flow scripting language and has two major components: Runtime engine and Pig Latin language. 2. Pig runs in two execution modes: Local and MapReduce. 3. Pig engine can be installed by download...
Pig is a scripting platform that runs on Hadoop clusters to process and analyze large datasets. Learn the components, features, data model, and execution modes of Pig in this tutorial.
- Simplilearn
- July 8, 2024
4 days ago · Pig Hadoop is basically a high-level programming language that is helpful for the analysis of huge datasets. Pig Hadoop was developed by Yahoo! and is generally used with Hadoop to perform a lot of data administration operations. For writing data analysis programs, Pig renders a high-level programming language called Pig Latin.
- Intellipaat
Aug 8, 2021 · Learn what Apache Pig is, how it works, and how it differs from MapReduce. Explore Pig features, architecture, commands, data types, and operators with examples.
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Jun 13, 2024 · Apache Pig enables people to focus more on analyzing bulk data sets and to spend less time writing Map-Reduce programs. Similar to Pigs, who eat anything, the Apache Pig programming language is designed to work upon any kind of data. That’s why the name, Pig!
