AWS 資料和分析能力合作夥伴

透過擁有深厚技術知識和經客戶成功實證的 AWS 專業化合作夥伴,推動創新並發揮更高的商業價值

資料和分析已成為競爭優勢,並且是組織創造價值的主要來源。然而,將資料轉換為有價值的公司資產是一個複雜的主題,很容易需要層採用多種技術、工具和環境。AWS 為資料湖和分析提供最廣泛、最深入的受管服務,以及最大的合作夥伴社群,協助您在雲端建立幾乎任何資料和分析應用程式。

AWS 資料和分析能力合作夥伴成功展現了協助客戶的佳績,讓客戶能評估和使用各種工具及最佳實務來收集、存放、管控和分析各種規模的資料。

AWS 合作夥伴網路資料和分析能力標誌

依類別搜尋 AWS 資料和分析能力合作夥伴

此類別的合作夥伴提供一組緊密整合的工具,旨在協同工作以解決標準化框架內的資料分析難題。資料分析平台允許採用多種技術來在其上獲取資源和應用程式。

此類別中的合作夥伴提供高度可擴展的資料庫,這些資料庫將資料整理至非傳統 RDBMS 結構中。

該類別的合作夥伴讓客戶能夠移動和合併來自不同來源的資料,對其進行轉換並為分析做好準備。這包括擷取、轉換和載入 (ETL)、資料品質、分析、複寫、準備和相關技術。

此類別的合作夥伴可以使用報告、儀表板和資料視覺化等線上分析處理技術,協助客戶將原始資料轉換為可操作的業務資訊。

此類別中的合作夥伴可協助客戶發現、分類和控制其資料。這包括定義和執行政策;安全、個人資訊管理;建立資料型錄和詞彙表;資料沿襲、資料遮罩和安全資料聯合。

AWS 能力合作夥伴提供諮詢服務,已展示出深厚的 AWS 技術專業知識,並在跨產業、使用案例和工作負載的專門領域驗證了客戶的成功。

與 AWS 資料和分析能力合作夥伴交流

與經過技術驗證的 AWS 合作夥伴合作,推動創新、達成業務目標,並充分發揮 AWS 服務效益。

AWS 合作夥伴能源能力標誌

其他資源

探索更多的 AWS 資料與分析能力合作夥伴解決方案和資源。

  • 使用案例資源
  • 將資料轉換為重要的公司資產

    探索 AWS 資料與分析能力合作夥伴電子書、網路研討會、客戶成功案例等。

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    資料湖資源

    將大量資料儲存在中央位置,並且可以按不同的群組進行分類、分析和使用。

    即時資料湖資源 »

    資料倉儲現代化資源

    使用 Amazon Redshift 和合作夥伴解決方案對資料倉儲進行現代化改造,以協助您遷移、收集、轉換和視覺化所有資料。

    檢視資料倉儲現代化資源 »

    資料管控資源

    從資料中探索商業價值,並透過已匿名處理的資料湖降低個人身分資訊方面的風險。

    檢視管控資源 »

    即時分析資源

    將串流資料轉換為可立即執行的洞見,以加速做出決策。

    檢視即時分析資源 »

  • 成功案例
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    • General Public Services

      The National Institutes of Health Works with Govplace to Accelerate Scientific Research and Analysis

      United States

      The National Institutes of Health (NIH) Office of Portfolio Analysis (OPA) sought a more scalable and flexible IT environment to support applications including a research web database and tools for indexing and searching text-based data. To meet these needs, the organization worked with AWS Partner Govplace to create a new text-based indexing and search solution on AWS. Now, OPA scales in hours instead of months to support 10 times the compute capacity, helping researchers accelerate scientific research by quickly scanning millions of grants, journal articles, and patents.

      2025
    • Education

      BJSS Helps University of Bath Track Room Occupancy with 90% Accuracy on AWS

      United Kingdom

      The University of Bath in southwest England wanted to make better use of data to support decision making across the campus. It decided to build a system that used Wi-Fi and Internet of Things (IoT) data to better understand the occupancy of its teaching spaces. It wanted to make the data available in near real-time and in visual form to give it insights into estate management, building projects, and timetable strategy. The university turned to AWS Partner BJSS to help build the system on Amazon Web Services (AWS). The project proved that the university could accurately assess use of spaces in near real-time using anonymized, cleansed, and processed Wi-Fi data.

      2024
    • Media & Entertainment

      CloudZone Streamlines and Adapts Machine Learning Model Lifecycles in the Cloud for LSports

      Israel

      LSports is a sports data company that provides an innovative API for the sports betting industry, providing high-quality live sports data feeds to clients worldwide. The company had a large repository in their data warehouse and wanted to use this data to provide advanced features to their customers. AWS Partner CloudZone developed an end-to-end machine learning (ML) pipeline. It was designed and built on top of a robust ML foundational service, delivering a training pipeline that controls data preparation, model training, and model deployment for more efficient model training as well as improved performance thanks to better cloud compute power.

      2024
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    • Jon Handler, 2025年2月21日
      In this post, you’ll learn how to use OpenSearch Service and Amazon Bedrock to build AI-powered search and generative AI applications. You’ll learn about how AI-powered search systems employ foundation models (FMs) to capture and search context and meaning across text, images, audio, and video, delivering more accurate results to users. You’ll learn how generative AI systems use these search results to create original responses to questions, supporting interactive conversations between humans and machines.
    • David Appel, 2025年2月21日
      Across NATO’s 32 member states, today’s rapidly evolving threat landscape requires continuous modernization of advanced technology solutions, underscoring the strategic importance of the alliance’s digital transformation. This modernization effort demands speed, scale, security, and global innovation capabilities to stay ahead. Collaborating with technology leaders like Amazon Web Services (AWS) can accelerate innovation and NATO’s ability to deliver mission-ready solutions to counter known and emerging threats.
    • Dian Xu, Joel Hawkins, Alak Eswaradass, Sajjan AVS, 2025年2月21日
      In this post, we share how we modernized Rocket Companies’ data science solution on AWS to increase the speed to delivery from eight weeks to under one hour, improve operational stability and support by reducing incident tickets by over 99% in 18 months, power 10 million automated data science and AI decisions made daily, and provide a seamless data science development experience.
    • Sajin Jacob, Jerry Chen, Siddarth Mohanram, Luis Barbier, Kristen Chenowith and Michelle Stahl, Arun Pradeep Selvaraj, Ryan Doty, 2025年2月20日
      Verisk’s Premium Audit Advisory Service is the leading source of technical information and training for premium auditors and underwriters. In this post, we describe the development of the customer support process in PAAS, incorporating generative AI, the data, the architecture, and the evaluation of the results. Conversational AI assistants are rapidly transforming customer and employee support.
    • Florian Seidel, André Schmidt, Vineet Singh, Carlo Degli Atti Panzeri, 2025年2月19日
      In this post, we explore how BMW Group used AWS analytics services, AWS Partner solutions, and Amazon QuickSight to build the Shop Floor Business Intelligence (SFBI) initiative.

後續步驟

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