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市場調查報告書
商品編碼
1604123

資料架構:克服企業引進課題

Overcoming Challenges in Bringing Data Fabrics to Industrial Enterprises
出版日期: | 出版商: ABI Research | 英文 11 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

本報告調查了將 Data Fabric 引入企業的趨勢，包括按資料來源劃分的產業產生資料量的趨勢和預測，以及供應商在將 Data Fabric 引入企業時面臨的挑戰。克服這個問題，以及關鍵公司和生態系統等資訊。

實用的優點:

  • 深入了解 Data Fabric 技術、資料治理、管理以及供應商在企業中實施該技術時面臨的組織和商業挑戰。
  • 為雲端服務供應商提供如何調整其產品以緩解技術挑戰的可行建議
  • 生態系統合作夥伴關係為供應商應對營運/管理和組織挑戰提供詳細指導

重要問題的答案：

  • 資料整合供應商/雲端服務供應商在企業中部署資料結構時面臨哪些挑戰？
  • 供應商如何調整其服務以緩解技術挑戰？
  • 需要採取哪些步驟才能最大限度地遵守資料治理和合規制度？
  • Data Fabric 供應商如何解決企業營運管理挑戰？
  • 與業務發展相關的商業挑戰有哪些？供應商如何緩解這些挑戰？

研究亮點：

  • 到 2030 年按行業劃分的資料產生情況（按資料來源）的詳細細分
  • 對製造業連接趨勢的詳細分析：對固定線路和無線連接趨勢的廣泛研究以及對固定線路主導作用的概述
  • 廣泛了解供應商在企業中部署 Data Fabric 時所面臨的挑戰
  • 建議供應商透過技術進步和生態系統合作夥伴關係來應對這些挑戰

目錄

第1章 主要調查結果

第2章 主要預測

第3章 主要企業生態系統

  • AMAZON WEB SERVICES
  • DATABRICKS
  • DENODO
  • IBM
  • INFORMATICA
  • ORACLE
  • MICROSOFT
  • QLIK
  • SNOWFLAKE

第 4 章在企業中實施資料結構的挑戰

第 5 章克服挑戰以加速資料結構的採用

第6章 總論

簡介目錄
Product Code: AN-6152

Actionable Benefits:

  • Detailed understanding of technology, data governance, management, and organizational and commercial challenges that vendors face in bringing the data fabric concept to enterprises.
  • Actionable recommendations for cloud service providers on how to adjust their product offerings to mitigate technology challenges.
  • Detailed guidance on how ecosystem partnerships can help suppliers address operational/management and organizational challenges.

Critical Questions Answered:

  • What challenges do data integration vendors/cloud service providers face in bringing data fabric deployments to enterprises?
  • How can vendors adjust their offering to mitigate technology challenges?
  • What steps are necessary to implement maximum adherence to data governance regimes and compliance arrangements?
  • How can data fabric suppliers help enterprises solve operational and management challenges?
  • What are the commercial challenges that targeted enterprise deployments entail? And how can vendors mitigate these challenges?

Research Highlights:

  • Detailed breakdown of industrial data generation through 2030, broken down by different sources of data.
  • In-depth analysis of connectivity trends in manufacturing: extensive review of fixed-line versus wireless connectivity trends, outlining the dominant role of fixed-line.
  • Extensive map of challenges for vendors to bring data fabric deployments to enterprises.
  • Recommendations for vendors to address these challenges with technology advancements and ecosystem partnerships.

Who Should Read This?

  • Product development managers charged with overcoming technical hurdles and designing products that balance flexibility with scalability.
  • Sales and business development executives facing the challenge of positioning and selling complex data fabric solutions in an evolving industrial market.
  • Chief Technology Officers (CTOs) needing to align product roadmaps with market demands while navigating the complex interoperability, security, and customization requirements of large-scale manufacturing and industrial clients.

TABLE OF CONTENTS

1 KEY FINDINGS

2 KEY FORECASTS

3 KEY COMPANIES AND ECOSYSTEMS

  • 3.1 AMAZON WEB SERVICES
  • 3.2 DATABRICKS
  • 3.3 DENODO
  • 3.4 IBM
  • 3.5 INFORMATICA
  • 3.6 ORACLE
  • 3.7 MICROSOFT
  • 3.8 QLIK
  • 3.9 SNOWFLAKE

4 CHALLENGES IN BRINGING DATA FABRICS TO ENTERPRISES

5 OVERCOMING CHALLENGES TO FOSTER DATA FABRIC DEPLOYMENTS

6 CLOSING REMARKS