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It is a server-based workflow scheduling system to manage Hadoop jobs. Workflows in it are defined as a collection of control flow and action nodes in a directed acyclic graph. Control flow nodes define the beginning and the end of a workflow as well as a mechanism to control the workflow execution path.
270
entreprises
Nous disposons de données sur 270 entreprises qui utilisent Apache Oozie. Notre liste de clients Apache Oozie est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
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Novencia | France | Professional Services | 210 | $3.1M |
Airbnb | États-Unis | Software Development | 38K | $6B |
IBM | États-Unis | It Services And It Consulting | 309K | $61B |
HiLabs | États-Unis | Software Development | 190 | $2.4M |
EPAM Systems | États-Unis | It Services And It Consulting | 61K | $4.8B |
Cognizant Technology Solutions | États-Unis | It Services And It Consulting | 341K | $19B |
Amazon Web Services, Inc. | États-Unis | It Services And It Consulting | 1.5M | $3M |
Hilabs | États-Unis | It Services And It Consulting | 140 | $2.4M |
Devoteam | France | It Services And It Consulting | 10K | $934M |
Société Générale | France | Financial Services | 45K | $30B |
NTT DATA | Japon | It Services And It Consulting | 37K | $20B |
Clarrow | Australie | Staffing And Recruiting | 22 |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
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Il y a 16 alternatives à Apache Oozie
Apache Oozie est utilisé dans 17 pays
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
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Apache Oozie is an open-source workflow scheduler system used to manage Apache Hadoop jobs. It allows users to define a series of tasks in a specific order to coordinate and schedule data processing jobs on a Hadoop cluster. Oozie supports multiple types of workflows such as MapReduce, Pig, Hive, and Sqoop, making it a versatile tool for orchestrating complex data processing pipelines.
Apache Oozie falls under the category of Workflow Manager technology. It plays a crucial role in enabling organizations to automate and streamline their data workflows within big data environments. By providing a centralized platform for defining, executing, and monitoring workflows, Oozie enhances the efficiency of data processing tasks and ensures better coordination among different components of the Hadoop ecosystem.
Founded in 2007 by Yahoo Inc., Apache Oozie was initially developed to address the need for a reliable workflow scheduler for Apache Hadoop jobs. Yahoo's motivation behind creating Oozie was to improve the operational efficiency of their data processing tasks by automating job orchestration and providing a more organized workflow management solution. Over the years, Apache Oozie has gained significant traction in the big data community and has become a widely adopted tool for managing Hadoop workflows.
In terms of current market share, Apache Oozie remains a popular choice among organizations leveraging Hadoop for their data processing needs. Its robust features and support for various workflow types continue to attract users looking to streamline their data pipelines effectively. While there may be emerging alternatives in the workflow management space, Apache Oozie is expected to maintain its market presence and possibly grow further as the demand for efficient data processing solutions continues to rise in the future.
Apache Oozie is a popular Workflow Manager used by companies to efficiently manage and coordinate complex workflows in their data processing pipelines. Its robust features make it an indispensable tool for organizations looking to streamline their data processing operations and maximize productivity.
Apache Oozie excels in seamlessly orchestrating workflows across various data processing tasks, ensuring dependencies are met and actions are executed in the right order. Unlike other similar technologies, Oozie provides a user-friendly interface and flexible scheduling capabilities, allowing for intricate workflows to be easily managed and monitored.
One of the key benefits of Apache Oozie is its scalability and reliability in handling large volumes of data processing tasks. With Oozie, companies can confidently scale their workflows as their data processing needs grow, without compromising on performance or reliability. This sets it apart from other workflow management tools that may struggle to maintain efficiency at scale.
Apache Oozie seamlessly integrates with the Hadoop ecosystem, making it an ideal choice for companies already leveraging Hadoop for their big data processing needs. Its native support for various Hadoop components such as MapReduce, Hive, and Pig allows for smooth integration and enhanced efficiency, giving it an edge over standalone workflow management solutions.
Another advantage of Apache Oozie is its customizable workflow design capabilities, enabling companies to tailor workflows to their specific requirements. This level of flexibility allows for the creation of highly optimized workflows that align with business objectives, setting it apart from rigid workflow management tools that offer limited customization options.
In conclusion, Apache Oozie stands out as a powerful Workflow Manager that offers unparalleled benefits in terms of workflow orchestration, scalability, integration with the Hadoop ecosystem, and customizable workflow design. Its versatility and reliability make it a top choice for companies seeking an efficient solution for managing complex data processing workflows.
Apache Oozie is a workflow scheduler system used to manage Hadoop jobs. Several notable companies leverage Apache Oozie to streamline their data processing and workflow automation. Let's take a look at some real-world case studies highlighting the usage of Apache Oozie in different companies:
Airbnb, a renowned online marketplace for lodging, uses Apache Oozie to orchestrate and schedule various data processing tasks. They started utilizing Apache Oozie back in 2014 to automate and streamline their data workflows. By leveraging Oozie's capabilities, Airbnb has been able to enhance operational efficiency and ensure timely execution of data pipelines.
LinkedIn, the world's largest professional networking platform, relies on Apache Oozie for managing complex data workflows efficiently. LinkedIn began utilizing Oozie as a workflow manager in 2012 to coordinate and execute diverse Hadoop jobs seamlessly. This adoption of Apache Oozie has enabled LinkedIn to handle large-scale data processing tasks effectively, contributing to improved data quality and operational productivity.
Twitter, a leading social media platform, incorporates Apache Oozie into their data infrastructure to streamline data processing and workflow orchestration. Twitter started using Apache Oozie in 2015 to automate the scheduling and execution of data tasks across their platform. By leveraging Oozie's workflow management capabilities, Twitter has been able to optimize their data processing workflows, leading to enhanced data accuracy and operational efficiency.
These case studies demonstrate how companies like Airbnb, LinkedIn, and Twitter effectively leverage Apache Oozie as a workflow manager to enhance data processing, automate workflows, and improve operational efficiency. By integrating Apache Oozie into their tech stacks, these companies have been able to streamline their data pipelines and enhance overall data management processes.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Apache Oozie en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 270 entreprises qui utilisent Apache Oozie.
Apache Oozie est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Professional Services", "Software Development", "It Services And It Consulting", "Software Development", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "Financial Services". Pour une liste complète de tous les secteurs utilisant Apache Oozie, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Apache Oozie incluent Novencia, Airbnb, IBM, HiLabs, EPAM Systems, Cognizant Technology Solutions, Amazon Web Services, Inc., Hilabs, Devoteam, Société Générale et bien d'autres encore. Vous pouvez trouver une liste complète des 270 entreprises qui utilisent Apache Oozie sur TheirStack.com.
Selon nos données, Apache Oozie est le plus populaire dans États-Unis (131 companies), Inde (16 companies), France (15 companies), Royaume-Uni (12 companies), Canada (11 companies), Espagne (7 companies), Australie (5 companies), Italie (4 companies), Allemagne (3 companies), Irlande (3 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Apache Oozie en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.