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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.
2,949개의 회사가 Pig를 사용하는 데이터가 있습니다. 이 정리된 목록은 다운로드 가능하며, 산업 분류, 조직 규모, 지리적 위치, 자금 조달 라운드, 수익 수치 등을 포함한 중요한 회사 정보로 풍부하게 구성되어 있습니다.
회사 | 나라 | 산업 | 직원 | 수익 |
---|---|---|---|---|
Onyx Point, Inc. | 미국 | It Services And It Consulting | 38 | $6.6M |
JSW Group | 인도 | Oil And Gas | 14K | $22B |
Cymertek | 미국 | It Services And It Consulting | 19 | $2.2M |
Clarity Innovations | 미국 | It Services And It Consulting | 160 | $3.6M |
CyberTrend Engineering LLC | 미국 | Computer And Network Security | 1 | |
ARSIEM | 미국 | It Services And It Consulting | 50 | |
New Pig Corporation | 미국 | Manufacturing | 320 | $4.4M |
Que Technology Group | 미국 | It Services And It Consulting | 41 | $7M |
DigiFlight | 미국 | It Services And It Consulting | 170 | $11M |
Clarity Innovations, LLC | 미국 | It Services And It Consulting | 160 | $3.6M |
Elenchus Technologies | 미국 | It Services And It Consulting | 11 | |
Connection | 미국 | It Services And It Consulting | 5K | $3.1B |
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가입 후 2,949 회사의 전체 목록을 다운로드하세요.
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기술 사용 통계 및 시장 점유율
이 데이터를 지리, 산업, 회사 규모, 수익, 기술 사용, 직무 및 기타 조건으로 필터링하여 필요에 맞게 맞춤화할 수 있습니다. 데이터를 Excel 또는 CSV 형식으로 다운로드할 수 있습니다.
이 데이터를 위한 알림을 받을 수 있습니다. 관심 있는 기술을 선택하면, 그 기술을 사용하는 새로운 회사가 있을 때 받은 편지함에서 알림을 받게 됩니다.
데이터를 Excel 파일로 내보낼 수 있으며, 이를 CRM에 가져올 수 있습니다. 또한 데이터를 API로 내보낼 수도 있습니다.
Pig는 55 국가에서 사용되고 있습니다.
Pig 대안이 45가지 있습니다
32,5k
20,2k
13,8k
9,3k
9,3k
9k
6,2k
6,1k
4,8k
2,9k
2,8k
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1,9k
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0
자주 묻는 질문
우리의 데이터는 수백만 개의 회사에서 수집된 채용 공고에서 출처를 얻습니다. 우리는 이러한 공고를 회사 웹사이트, 구인 게시판, 기타 채용 플랫폼에서 모니터링합니다. 채용 공고 분석은 회사들이 사용하는 기술과 내부 도구의 사용을 이해하는 신뢰할 수 있는 방법을 제공합니다.
우리는 최신 정보를 제공하기 위해 데이터를 매일 갱신합니다. 이 빈번한 업데이트 과정은 우리의 인사이트와 지능이 업계 내 최신 동향과 발전을 반영하도록 보장합니다.
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.
TheirStack.com를 방문하여 Pig를 사용하는 회사의 최신 목록에 접근할 수 있습니다. 우리의 플랫폼은 다양한 기술과 내부 도구를 사용하는 회사들의 포괄적인 데이터베이스를 제공합니다.
현재 우리는 Pig을 사용하는 2,949 개 회사에 대한 데이터를 보유하고 있습니다.
Pig은(는) "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"을(를) 포함한 다양한 산업 분야의 조직에 의해 사용됩니다. Pig을(를) 사용하는 모든 산업의 포괄적인 목록은 TheirStack.com을 방문해 주세요.
Pig을 사용하는 회사 중에는 Onyx Point, Inc., JSW Group, Cymertek, Clarity Innovations, CyberTrend Engineering LLC, ARSIEM, New Pig Corporation, Que Technology Group, DigiFlight, Clarity Innovations, LLC 등이 있습니다. Pig을 사용하는 2,949개의 회사 목록은 TheirStack.com에서 확인할 수 있습니다.
우리 데이터에 따르면, Pig는 미국 (1,264 companies), 영국 (179 companies), 인도 (133 companies), 캐나다 (63 companies), 프랑스 (57 companies), 오스트레일리아 (39 companies), 스페인 (34 companies), 싱가포르 (31 companies), 독일 (19 companies), 네덜란드 (19 companies)에서 가장 인기가 많습니다. 그러나, 그것은 전 세계의 기업들에 의해 사용되고 있습니다.
TheirStack.com에서 Pig을 사용하고 있는 회사를 검색하여 찾을 수 있습니다. 우리는 수백만 개의 회사에서 올라온 채용 공고를 추적하여 그들이 사용하는 기술과 내부 도구를 발견합니다.