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封面
市場調查報告書
商品編碼
1584840

資料解決方案供應商贏得企業資料競賽應具備的資料整合特徵

Must-Have Data Integration Characteristics for Data Solution Providers to Win the Enterprise Data Battle
出版日期: | 出版商: ABI Research | 英文 12 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

本報告探討了資料解決方案提供者應具備的資料整合特徵、資料整合工具應具有的基本特徵、資料整合工具的差異化因素、領先公司和生態系統參與者、資料整合用例和客戶。

實際好處：

  • 完整且強大的資料整合工具的資料整合先決條件
  • 預測資料整合市場的市場機會
  • 資料整合解決方案比較：雲端提供商資料管理技術供應商

重要問題的答案：

  • 資料整合工具必須具備哪些關鍵特性才能支援混合雲端資料管理？
  • ETL（提取-轉換-載入）和資料虛擬化方法的競爭優勢是什麼？
  • 數據集成提供者如何識別數據集成市場的機會？

研究亮點：

  • 確定區分基本資料整合工具和強大的資料整合工具的特徵
  • 將特定用例對應到基於 ETL 和資料虛擬化的整合方法的競爭優勢
  • 確定資料整合提供者如何透過獨特的工具優勢贏得客戶

目錄

第1章 要點

第4章 主要預測

第3章 主要公司與生態系進入者

第 31 章雲端資料整合供應商

第32章 專業資料整合提供商

第 4 章. 資料整合用例與客戶利益

第41章 ETL和資料虛擬化在不同情境下的競爭優勢

第 42 章資料整合客戶

第 5 章建議/概述

簡介目錄
Product Code: AN-6289

Actionable Benefits:

  • Data integration must-haves for a complete and robust data integration tool.
  • Market opportunity forecast of the data integration market.
  • Comparison of data integration solutions by cloud providers and data management technology providers.

Critical Questions Answered:

  • What key characteristics must data integration tools have to support hybrid cloud data management?
  • What are the competitive advantages between an Extract, Transform, and Load (ETL) and a data virtualization approach?
  • How can data integration providers identify opportunities in the data integration market?

Research Highlights:

  • Identify characteristics that differentiate between a basic and robust data integration tool.
  • Map specific use cases to the competitive advantage of an ETL-based and a data virtualization-based integration approach.
  • Identify how data integration providers win over customers through unique tool differentiators.

Who Should Read This?

  • Market intelligence managers at data integration providers looking to gain an understanding of the competition.
  • Cloud hyperscalers looking to acquire specialized data management providers as part of an overall cloud data management strategy.
  • Data management product engineers tasked with integrating new features into a data integration solution.

TABLE OF CONTENTS

1 KEY TAKEAWAYS

2 KEY FORECASTS

3 KEY COMPANIES AND ECOSYSTEM PLAYERS

31 CLOUD DATA INTEGRATION PROVIDERS

32 SPECIALIZED DATA INTEGRATION PROVIDERS

4 DATA INTEGRATION USE CASES AND CUSTOMER WINS

41 ETL VERSUS DATA VIRTUALIZATION COMPETITIVE ADVANTAGES FOR DIFFERENT SCENARIOS

42 DATA INTEGRATION CUSTOMER WINS MANUFACTURING

5 RECOMMENDATIONS AND CLOSING REMARKS