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Pig is a dataflow programming environment for processing very large files. Pig's language is called Pig Latin. A Pig Latin program consists of a directed acyclic graph where each node represents an operation that transforms data. Operations are of two flavors: (1) relational-algebra style operations such as join, filter, project; (2) functional-programming style operators such as map, reduce.
2,949
aziende
Abbiamo dati su 2,949 aziende che usano Pig. La nostra lista di clienti Pig è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Onyx Point, Inc. | Stati Uniti | It Services And It Consulting | 38 | $6.6M |
JSW Group | India | Oil And Gas | 14K | $22B |
Cymertek | Stati Uniti | It Services And It Consulting | 19 | $2.2M |
Clarity Innovations | Stati Uniti | It Services And It Consulting | 160 | $3.6M |
CyberTrend Engineering LLC | Stati Uniti | Computer And Network Security | 1 | |
ARSIEM | Stati Uniti | It Services And It Consulting | 50 | |
New Pig Corporation | Stati Uniti | Manufacturing | 320 | $4.4M |
Que Technology Group | Stati Uniti | It Services And It Consulting | 41 | $7M |
DigiFlight | Stati Uniti | It Services And It Consulting | 170 | $11M |
Clarity Innovations, LLC | Stati Uniti | It Services And It Consulting | 160 | $3.6M |
Elenchus Technologies | Stati Uniti | It Services And It Consulting | 11 | |
Connection | Stati Uniti | It Services And It Consulting | 5K | $3.1B |
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Pig è utilizzata in 55 paesi
Ci sono 45 alternative a Pig
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Apache Pig is a high-level platform for creating and executing programs that run on Apache Hadoop. It provides a high-level data flow language known as Pig Latin, which allows developers to perform MapReduce tasks easily. Pig abstracts the complexities of MapReduce and enables users to focus more on analyzing large datasets rather than dealing with the intricate details of the underlying parallel processing framework.
In the realm of Big Data Tools, Apache Pig falls under the category of data processing and analytics tools. It is specifically designed to handle large-scale data processing tasks efficiently. Pig is particularly useful for transforming and analyzing complex data sets, making it an essential tool for organizations dealing with massive volumes of data.
Apache Pig was founded by Yahoo! in 2006 as an open-source project. The motivation behind its creation was to simplify data processing tasks on Hadoop, enabling users to write complex MapReduce tasks more easily and intuitively. Over the years, the Apache Pig community has grown, with contributions from various developers and organizations, further enhancing its capabilities and functionality.
In terms of current market share, Apache Pig remains a significant player in the Big Data Tools category. Its ease of use and powerful data processing capabilities have made it a popular choice among data engineers and analysts. With the increasing adoption of big data technologies across industries, the demand for efficient data processing tools like Apache Pig is expected to grow. As organizations continue to strive for insights from their vast data repositories, Apache Pig is likely to see a steady increase in market share in the foreseeable future.
Pig is a powerful tool within the realm of Big Data that is widely utilized by companies seeking efficient data processing and analysis solutions. Its ease of use and flexibility make it a popular choice among organizations dealing with large and complex datasets.
Pig simplifies the process of data processing by providing a high-level language, Pig Latin, that abstracts the complexities of MapReduce programming. This abstraction allows users to focus on the logic of data transformations rather than the intricate details of the underlying processing framework, making it more user-friendly compared to directly writing MapReduce jobs.
Pig offers excellent scalability, enabling organizations to handle increasing amounts of data without significant performance degradation. Its ability to efficiently distribute computation tasks across a large cluster of machines ensures that processing speed remains consistent even as the dataset grows. This scalability sets Pig apart from traditional data processing tools that struggle to maintain performance with growing data volumes.
Pig seamlessly integrates with other components of the Hadoop ecosystem, such as Hive, HBase, and Spark. This interoperability allows companies to leverage the strengths of different tools within the Hadoop ecosystem for various data processing needs. The cohesive integration of Pig with these technologies enhances workflow efficiency and facilitates comprehensive Big Data analysis, offering a more cohesive solution compared to standalone tools that lack seamless integration capabilities.
Pig provides built-in optimization techniques that enhance query performance and reduce processing time. These optimizations include query rewriting, automatic parallelization, and execution plan optimization, which collectively contribute to faster data processing and improved overall efficiency. The optimization capabilities of Pig outshine those of similar tools by streamlining the execution of data processing tasks and enhancing the performance of complex data workflows.
By leveraging the benefits of Pig, companies can streamline their Big Data processing operations, improve efficiency, and unlock valuable insights from their datasets with greater ease and speed.
Pig, a high-level platform for creating MapReduce programs, is widely used by companies in the realm of Big Data Tools. Some notable companies leveraging Pig in their data processing workflows include Yahoo, LinkedIn, and Twitter.
Yahoo: Yahoo utilizes Pig for data processing and analysis tasks within its vast array of services. The company started using Pig back in 2010 to handle large volumes of data efficiently. By leveraging Pig's capabilities, Yahoo has been able to streamline its data pipelines and extract valuable insights from massive datasets.
LinkedIn: LinkedIn incorporates Pig into its data infrastructure to facilitate the processing of complex data transformations. Since adopting Pig a few years ago, LinkedIn has been able to optimize its data processing workflows and improve the scalability of its analytics platform. Pig plays a crucial role in enabling LinkedIn to derive actionable insights from its extensive user data.
Twitter: Twitter relies on Pig for handling data processing tasks across its platform, including real-time analytics and batch processing operations. Twitter started utilizing Pig in 2012 to enhance the efficiency of its data processing pipelines. By harnessing Pig's functionalities, Twitter has been able to analyze vast amounts of data at scale and deliver personalized user experiences effectively.
These case studies exemplify how prominent companies such as Yahoo, LinkedIn, and Twitter leverage Pig to manage and analyze data efficiently in their Big Data operations. Through the integration of Pig into their data processing workflows, these companies have achieved significant enhancements in data processing speed, scalability, and analytical capabilities.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Pig visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 2,949 aziende che utilizzano Pig.
Pig è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "It Services And It Consulting", "Oil And Gas", "It Services And It Consulting", "It Services And It Consulting", "Computer And Network Security", "It Services And It Consulting", "Manufacturing", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting". Per un elenco completo di tutti i settori che utilizzano Pig, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Pig includono Onyx Point, Inc., JSW Group, Cymertek, Clarity Innovations, CyberTrend Engineering LLC, ARSIEM, New Pig Corporation, Que Technology Group, DigiFlight, Clarity Innovations, LLC e molte altre. Puoi trovare un elenco completo di 2,949 aziende che utilizzano Pig su TheirStack.com.
Secondo i nostri dati, Pig è più popolare in Stati Uniti (1,264 companies), Regno Unito (179 companies), India (133 companies), Canada (63 companies), Francia (57 companies), Australia (39 companies), Spagna (34 companies), Singapore (31 companies), Germania (19 companies), Paesi Bassi (19 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Pig cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.