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It is a managed Spark and Hadoop service that lets you take advantage of open source data tools for batch processing, querying, streaming, and machine learning. It helps you create clusters quickly, manage them easily, and save money by turning clusters off when you don't need them.
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Unternehmen
Wir haben Daten zu 73 Unternehmen, die Google Cloud Dataproc verwenden. Unsere Google Cloud Dataproc Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Fluree | Vereinigte Staaten | It Services And It Consulting | 36 | $4M |
Voyage Privé | Frankreich | Retail | 900 | $5.8M |
LTK USA | Vereinigte Staaten | Technology, Information And Internet | 820 | $63M |
Adevinta Group | Spanien | Online Audio And Video Media | 5K | $932M |
![]() LTK | Vereinigte Staaten | Software Development | 995 | $63M |
Cognizant Technology Solutions | Vereinigte Staaten | It Services And It Consulting | 341K | $19B |
![]() Movable Ink | Vereinigte Staaten | Software Development | 615 | $70M |
eCom Solutions Inc | Vereinigte Staaten | It Services And It Consulting | 45 | $3.9M |
Trinity IT Services | Vereinigte Staaten | It Services And It Consulting | 22 | |
Prodapt | Indien | Media & Telecommunications | 5K | $100M |
![]() Veepee | Frankreich | Retail | 7.6K | $3.5B |
Adevinta Spain | Spanien | Technology, Information And Internet | 10K | $932M |
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
Sie können Alarme für diese Daten erhalten. Sie können beginnen, indem Sie die Technologie auswählen, die Sie interessiert, und dann erhalten Sie Alarme in Ihrem Posteingang, wenn es neue Unternehmen gibt, die diese Technologie verwenden.
Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
Google Cloud Dataproc wird in 9 Ländern verwendet
Es gibt 45 Alternativen zu Google Cloud Dataproc
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Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
Google Cloud Dataproc is a managed service on Google Cloud Platform that allows users to run Apache Spark and Apache Hadoop clusters with ease. It provides a fast, easy-to-use, and fully managed environment for developing and running big data applications. With Google Cloud Dataproc, users can quickly create Spark and Hadoop clusters and scale them easily to accommodate their data processing needs. This technology simplifies the process of deploying and managing clusters, making it an attractive option for organizations looking to leverage big data tools efficiently.
Google Cloud Dataproc falls under the category of Big Data Tools, which encompasses a range of technologies and services designed to handle large volumes of data for analysis, processing, and visualization. Within this category, Google Cloud Dataproc stands out for its focus on providing a managed environment specifically optimized for running Spark and Hadoop workflows. It offers integration with other Google Cloud Platform services, seamless cluster management, and the flexibility to scale clusters up or down based on demand.
Founded in 2014, Google Cloud Dataproc was introduced by Google Cloud as a response to the growing demand for scalable and cost-effective big data processing solutions. The motivation behind the creation of Google Cloud Dataproc was to simplify the process of running Apache Spark and Hadoop workloads in the cloud, enabling organizations to focus on deriving insights from their data rather than managing infrastructure. Since its inception, Google Cloud Dataproc has evolved to become a popular choice for businesses looking to harness the power of big data analytics.
As of the latest data, Google Cloud Dataproc holds a significant market share within the Big Data Tools category, thanks to its robust features and seamless integration with other Google Cloud services. The forecast for Google Cloud Dataproc suggests that it is poised to grow further in the future, as organizations continue to invest in big data analytics and look for efficient ways to process and analyze large datasets. With its scalability, performance, and ease of use, Google Cloud Dataproc is well-positioned to meet the evolving needs of companies seeking advanced big data processing solutions.
Google Cloud Dataproc is a powerful tool used by companies to process and analyze large datasets efficiently. By leveraging Google's infrastructure, companies can harness the benefits of Dataproc to streamline their big data operations and unlock valuable insights. Some key advantages of using Google Cloud Dataproc include:
Google Cloud Dataproc offers a cost-effective solution for companies looking to manage their big data workloads. With Dataproc's pay-as-you-go pricing model, businesses can scale their cluster resources based on demand, ensuring they only pay for what they use. This flexibility sets Dataproc apart from traditional on-premises solutions that require hefty upfront investments in infrastructure.
Google Cloud Dataproc enables seamless scalability, allowing companies to quickly expand or shrink their cluster sizes based on workload requirements. This dynamic scaling capability ensures optimal performance and resource utilization, empowering organizations to handle varying workloads without manual intervention. Compared to fixed-capacity solutions, Dataproc offers unparalleled adaptability, enhancing operational efficiency.
Dataproc seamlessly integrates with other Google Cloud services, such as BigQuery and TensorFlow, providing a comprehensive ecosystem for big data processing and machine learning tasks. This tight integration simplifies workflow management and data movement between services, accelerating time-to-insights for businesses. Unlike standalone tools, Dataproc's ecosystem synergy fosters a cohesive data environment, enhancing productivity and collaboration within organizations.
Google Cloud Dataproc is a fully managed service, eliminating the need for companies to handle cluster provisioning, configuration, and maintenance tasks manually. This managed approach reduces operational overhead and frees up resources to focus on data analysis and decision-making. Unlike self-managed platforms that require dedicated IT resources, Dataproc offers a hassle-free experience, enabling companies to leverage big data capabilities efficiently.
In conclusion, Google Cloud Dataproc stands out as a leading choice for companies seeking a reliable and cost-effective solution for processing big data workloads. Its scalability, seamless integration with Google Cloud services, and managed service model make it a compelling option in the realm of Big Data Tools technology.
Google Cloud Dataproc is a powerful tool used by various companies for their big data processing needs. Here are some real-world case studies showcasing how companies are leveraging Google Cloud Dataproc:
PayPal
PayPal, a leading online payment system, utilizes Google Cloud Dataproc to handle large-scale data processing tasks such as log analysis, fraud detection, and personalized recommendations for users. They started using Dataproc in 2017, which significantly improved their data processing speed and efficiency while reducing operational costs.
Spotify
Spotify, the popular music streaming service, leverages Google Cloud Dataproc to analyze vast amounts of user data to enhance their music recommendation algorithms and improve user experience. By implementing Dataproc in their data infrastructure in 2016, Spotify achieved faster processing times for complex queries and real-time analytics, leading to more personalized music suggestions.
Twitter
Twitter, the social media platform, employs Google Cloud Dataproc to analyze real-time tweet data and trends, enabling them to improve content relevance, user engagement, and ad targeting. Since integrating Dataproc into their data processing pipeline in 2018, Twitter has seen significant improvements in data processing speed, scalability, and cost-effectiveness.
These case studies demonstrate how well-established companies like PayPal, Spotify, and Twitter are successfully utilizing Google Cloud Dataproc to enhance their big data processing capabilities and drive business value.
Sie können eine aktuelle Liste von Unternehmen, die Google Cloud Dataproc verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 73 Unternehmen, die Google Cloud Dataproc verwenden.
Google Cloud Dataproc wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "It Services And It Consulting", "Retail", "Technology, Information And Internet", "Online Audio And Video Media", "Software Development", "It Services And It Consulting", "Software Development", "It Services And It Consulting", "It Services And It Consulting", "Media & Telecommunications", verwendet. Für eine umfassende Liste aller Branchen, die Google Cloud Dataproc nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Google Cloud Dataproc verwenden, umfassen Fluree, Voyage Privé, LTK USA, Adevinta Group, LTK, Cognizant Technology Solutions, Movable Ink, eCom Solutions Inc, Trinity IT Services, Prodapt und viele mehr. Sie können eine vollständige Liste von 73 Unternehmen, die Google Cloud Dataproc nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Google Cloud Dataproc am beliebtesten in Vereinigte Staaten (39 companies), Kanada (3 companies), Spanien (3 companies), Frankreich (2 companies), Brasilien (1 companies), Indien (1 companies), Italien (1 companies), Singapur (1 companies), Vereinigtes Königreich (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Google Cloud Dataproc verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.