A fully managed, cloud-native data integration service that helps users efficiently build and manage ETL/ELT data pipelines. With a graphical interface and a broad open-source library of preconfigured connectors and transformations, and more.
117개의 회사가 Google Cloud Data Fusion를 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 |
---|---|---|---|---|
CENOVA | 프랑스 | Professional Services | 79 | $5.4M |
Collegis Education | 미국 | Higher Education | 410 | $5M |
Pliancy | 미국 | Computer And Network Security | 110 | $2M |
Give Interactive | 미국 | It Services And It Consulting | 19 | |
GAF | 미국 | Wholesale Building Materials | 4.1K | $4B |
PurposeMed | 캐나다 | Hospitals And Health Care | 51 | |
Looper Development Services | 인도 | It Services And It Consulting | 7 | |
Ford Motor Company | 미국 | Motor Vehicle Manufacturing | 130K | $170B |
Capgemini | 프랑스 | It Services And It Consulting | 357K | $24B |
BT | 영국 | Telecommunications | 79K | $23B |
Tech Intellectuals | 미국 | Software Development | 51 | |
Atlantis IT Group | 캐나다 | It Services And It Consulting | 102 |
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가입 후 117 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.
Google Cloud Data Fusion는 10 국가에서 사용되고 있습니다.
Google Cloud Data Fusion 대안이 45가지 있습니다
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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.
Google Cloud Data Fusion is a powerful cloud-native data integration service that enables users to efficiently build and manage ETL (Extract, Transform, Load) processes for data pipelines. It simplifies the process of collecting, cleaning, and transforming data from various sources to make it usable for analysis and reporting. By providing an intuitive drag-and-drop interface and a wide range of pre-built connectors, Google Cloud Data Fusion empowers organizations to accelerate their data integration projects without the need for extensive coding or complex configurations.
Google Cloud Data Fusion falls under the Big Data Tools category, which focuses on technologies designed to handle large volumes of data efficiently. Within this category, Google Cloud Data Fusion stands out for its user-friendly interface and robust capabilities for streamlining data integration workflows. Whether organizations need to integrate data from on-premises sources, cloud platforms, or IoT devices, Google Cloud Data Fusion provides a unified solution to simplify the process and improve data accessibility for analysis.
Founded by Google, Google Cloud Data Fusion was introduced to the market to address the growing need for scalable and efficient data integration solutions in the era of big data. Google's motivation behind launching Cloud Data Fusion was to offer a versatile platform that caters to organizations of all sizes, from startups to large enterprises, looking to harness the power of their data. With Google's reputation for innovation and expertise in cloud services, Google Cloud Data Fusion has quickly gained traction in the market since its inception.
As of the latest data available, Google Cloud Data Fusion holds a significant market share within the Big Data Tools category, thanks to its seamless integration with other Google Cloud services and its competitive pricing model. With the increasing demand for data-driven insights and the continuous growth of big data volumes, it is forecasted that Google Cloud Data Fusion will continue to expand its market share in the future as more organizations recognize the value of efficient data integration solutions.
Google Cloud Data Fusion is a powerful tool that companies use for seamless data integration and processing within the realm of Big Data Tools. Its user-friendly interface and robust capabilities make it a top choice for organizations looking to optimize their data workflows efficiently.
Benefits of Google Cloud Data Fusion:
1. Simplified Data Pipelines: Google Cloud Data Fusion simplifies the process of building and managing data pipelines through its intuitive drag-and-drop interface. Unlike traditional ETL tools, Data Fusion allows users to visually design complex workflows without the need for extensive coding, saving time and resources. This ease of use empowers teams to quickly adapt to changing requirements and focus on deriving insights from data rather than grappling with the intricacies of pipeline creation.
2. Scalability and Performance: Google Cloud Data Fusion offers unmatched scalability and performance, enabling companies to process massive volumes of data efficiently. By leveraging Google's infrastructure, Data Fusion can seamlessly handle increased workloads as needed, ensuring smooth operations even during spikes in data processing demands. This scalability sets Data Fusion apart from other similar technologies, providing businesses with the flexibility to grow without constraints.
3. Integration with Google Cloud Services: An important advantage of Google Cloud Data Fusion is its seamless integration with other Google Cloud services, such as BigQuery and Cloud Storage. This tight integration streamlines data workflows and enables seamless data exchange between different components of the Google Cloud ecosystem. By harnessing the collective power of various Google services, companies can achieve greater synergy in their data operations, leading to enhanced efficiency and insights.
In summary, Google Cloud Data Fusion stands out as a leading solution for companies seeking efficient data integration and processing capabilities within the domain of Big Data Tools. Its simplicity, scalability, performance, and integration with Google Cloud services make it a preferred choice for organizations looking to leverage their data effectively.
Google Cloud Data Fusion is a powerful tool used by numerous companies across various industries to streamline data integration processes and enhance analytics capabilities. Here are some real-world case studies showcasing the successful implementation of Google Cloud Data Fusion:
AirAsia: AirAsia, the leading low-cost airline in Asia, leverages Google Cloud Data Fusion to consolidate and process vast amounts of customer data from multiple sources. By utilizing Data Fusion, AirAsia has been able to create a unified view of customer information, allowing for more personalized marketing campaigns and improved customer experiences. The airline started using Google Cloud Data Fusion in 2019 and has since seen a significant improvement in data-driven decision-making processes.
Shopify: Shopify, a popular e-commerce platform, utilizes Google Cloud Data Fusion to integrate data from various channels, including sales, marketing, and customer service. By centralizing data using Data Fusion, Shopify gains valuable insights into customer behavior, inventory management, and trends in the e-commerce market. This enables Shopify to make data-driven decisions in real-time, leading to increased sales and improved operational efficiency. The company adopted Google Cloud Data Fusion in 2018 and has since seen substantial growth in its data analytics capabilities.
PayPal: PayPal, a global leader in online payment solutions, relies on Google Cloud Data Fusion to streamline data ingestion and processing procedures across its vast network of transactions. By utilizing Data Fusion, PayPal can efficiently handle massive volumes of transactional data, detect fraud patterns in real-time, and improve overall security measures. Since implementing Google Cloud Data Fusion in 2020, PayPal has experienced enhanced data accuracy and faster decision-making processes, ultimately benefiting both the company and its customers.
These case studies demonstrate how prominent companies like AirAsia, Shopify, and PayPal have successfully employed Google Cloud Data Fusion to optimize their data management, analytics, and decision-making processes within the realm of Big Data Tools.
TheirStack.com를 방문하여 Google Cloud Data Fusion를 사용하는 회사의 최신 목록에 접근할 수 있습니다. 우리의 플랫폼은 다양한 기술과 내부 도구를 사용하는 회사들의 포괄적인 데이터베이스를 제공합니다.
현재 우리는 Google Cloud Data Fusion을 사용하는 117 개 회사에 대한 데이터를 보유하고 있습니다.
Google Cloud Data Fusion은(는) "Professional Services", "Higher Education", "Computer And Network Security", "It Services And It Consulting", "Wholesale Building Materials", "Hospitals And Health Care", "It Services And It Consulting", "Motor Vehicle Manufacturing", "It Services And It Consulting", "Telecommunications"을(를) 포함한 다양한 산업 분야의 조직에 의해 사용됩니다. Google Cloud Data Fusion을(를) 사용하는 모든 산업의 포괄적인 목록은 TheirStack.com을 방문해 주세요.
Google Cloud Data Fusion을 사용하는 회사 중에는 CENOVA, Collegis Education, Pliancy, Give Interactive, GAF, PurposeMed, Looper Development Services, Ford Motor Company, Capgemini, BT 등이 있습니다. Google Cloud Data Fusion을 사용하는 117개의 회사 목록은 TheirStack.com에서 확인할 수 있습니다.
우리 데이터에 따르면, Google Cloud Data Fusion는 미국 (61 companies), 영국 (9 companies), 캐나다 (6 companies), 프랑스 (4 companies), 인도 (4 companies), 스페인 (2 companies), 스위스 (2 companies), 아일랜드 (1 companies), 멕시코 (1 companies), 페루 (1 companies)에서 가장 인기가 많습니다. 그러나, 그것은 전 세계의 기업들에 의해 사용되고 있습니다.
TheirStack.com에서 Google Cloud Data Fusion을 사용하고 있는 회사를 검색하여 찾을 수 있습니다. 우리는 수백만 개의 회사에서 올라온 채용 공고를 추적하여 그들이 사용하는 기술과 내부 도구를 발견합니다.