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市场调查报告书
商品编码
1604123

资料架构:克服企业引进课题

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个工作天内

价格
简介目录

本报告调查了将 Data Fabric 引入企业的趋势，包括按资料来源划分的产业产生资料量的趋势和预测，以及供应商在将 Data Fabric 引入企业时面临的挑战。克服这个问题，以及关键公司和生态系统等资讯。

实用的优点:

  • 深入了解 Data Fabric 技术、资料治理、管理以及供应商在企业中实施该技术时面临的组织和商业挑战。
  • 为云端服务供应商提供如何调整其产品以缓解技术挑战的可行建议
  • 生态系统合作伙伴关係为供应商应对营运/管理和组织挑战提供详细指导

重要问题的答案：

  • 资料整合供应商/云端服务供应商在企业中部署资料结构时面临哪些挑战？
  • 供应商如何调整其服务以缓解技术挑战？
  • 需要采取哪些步骤才能最大限度地遵守资料治理和合规制度？
  • Data Fabric 供应商如何解决企业营运管理挑战？
  • 与业务发展相关的商业挑战有哪些？供应商如何缓解这些挑战？

研究亮点：

  • 到 2030 年按行业划分的资料产生情况（按资料来源）的详细细分
  • 对製造业连接趋势的详细分析：对固定线路和无线连接趋势的广泛研究以及对固定线路主导作用的概述
  • 广泛了解供应商在企业中部署 Data Fabric 时所面临的挑战
  • 建议供应商透过技术进步和生态系统合作伙伴关係来应对这些挑战

目录

第1章 主要调查结果

第2章 主要预测

第3章 主要企业生态系统

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

第 4 章在企业中实施资料结构的挑战

第 5 章克服挑战以加速资料结构的采用

第6章 总论

简介目录
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