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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.
私たちはApache Oozieを使用している270社のデータを持っています。このキュレーションリストはダウンロード可能で、業界分類、組織の規模、地理的位置、資金調達ラウンド、収益数値などの重要な会社の詳細が含まれています。
会社 | 国 | 業界 | 従業員 | 収益 |
---|---|---|---|---|
Novencia | フランス | Professional Services | 210 | $3.1M |
Airbnb | アメリカ合衆国 | Software Development | 38K | $6B |
IBM | アメリカ合衆国 | It Services And It Consulting | 309K | $61B |
HiLabs | アメリカ合衆国 | Software Development | 190 | $2.4M |
EPAM Systems | アメリカ合衆国 | It Services And It Consulting | 61K | $4.8B |
Cognizant Technology Solutions | アメリカ合衆国 | It Services And It Consulting | 341K | $19B |
Amazon Web Services, Inc. | アメリカ合衆国 | It Services And It Consulting | 1.5M | $3M |
Hilabs | アメリカ合衆国 | It Services And It Consulting | 140 | $2.4M |
Devoteam | フランス | It Services And It Consulting | 10K | $934M |
Société Générale | フランス | Financial Services | 45K | $30B |
NTT DATA | 日本 | It Services And It Consulting | 37K | $20B |
Clarrow | オーストラリア | Staffing And Recruiting | 22 |
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技術使用統計と市場シェア
このデータは、地理、業界、企業規模、収益、技術使用状況、求人情報などでフィルタリングすることにより、あなたのニーズに合わせてカスタマイズできます。データはExcelまたはCSV形式でダウンロードできます。
このデータのアラートを受け取ることができます。興味のある技術を選択すると、その技術を使用している新しい企業がある場合に受信ボックスにアラートが届きます。
彼のデータをExcelファイルにエクスポートでき、それはあなたのCRMにインポートできます。また、そのデータをAPIにエクスポートすることもできます。
Apache Oozieは17か国で使用されています
Apache Oozieには16の代替案があります。
よくある質問
私たちのデータは、何百万もの企業から収集された求人情報に基づいています。私たちはこれらの求人情報を企業のウェブサイト、求職掲示板、およびその他の採用プラットフォームで監視しています。求人情報を分析することで、企業が使用している技術や内部ツールの利用状況を理解するための信頼性の高い方法を提供します。
私たちはデータを毎日更新して、利用可能な最新の情報にアクセスできるようにしています。この頻繁な更新プロセスにより、私たちのインサイトとインテリジェンスが業界内の最新の展開とトレンドを反映していることを保証します。
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.
TheirStack.com を訪問すると、Apache Oozie を使用している企業の最新リストにアクセスできます。当社のプラットフォームは、さまざまな技術や内部ツールを活用している企業の包括的なデータベースを提供します。
現在、270 社が Apache Oozie を使用しているデータを保持しています。
Apache Oozie は "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" を含む様々な業界の多様な組織によって使用されています。Apache Oozie を利用しているすべての業界の包括的なリストについては、TheirStack.com をご覧ください。
Apache Oozie を使用している企業の中には、Novencia, Airbnb, IBM, HiLabs, EPAM Systems, Cognizant Technology Solutions, Amazon Web Services, Inc., Hilabs, Devoteam, Société Générale などが含まれています。他にも多くの企業があります。Apache Oozie を使用している 270 社の完全なリストは TheirStack.com で見つけることができます。
私たちのデータによれば、Apache Oozie は アメリカ合衆国 (131 companies), インド (16 companies), フランス (15 companies), イギリス (12 companies), カナダ (11 companies), スペイン (7 companies), オーストラリア (5 companies), イタリア (4 companies), ドイツ (3 companies), アイルランド (3 companies) で最も人気があります。しかし、世界中の企業で使用されています。
TheirStack.comでApache Oozieを検索することにより、{technology.name}を使用している企業を見つけることができます。 theirstackは、数百万の企業からの求人情報を追跡し、それらが使用している技術や内部ツールを発見します。