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Oracle's Data as a Service (DaaS) Offering

出版商 Mind Commerce 商品編碼 324236
出版日期 內容資訊 英文 57 Pages
商品交期: 最快1-2個工作天內
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Oracle的數據即服務(DaaS) Oracle's Data as a Service (DaaS) Offering
出版日期: 2015年02月11日 內容資訊: 英文 57 Pages


第1章 簡介

第2章 企業概要

  • 策略
    • 整體企業策略
    • DaaS特有的策略

第3章 數據即服務(DaaS)

  • 概要
  • 市場
    • 概要
    • DaaS引進要素
  • 預測

第4章 Oracle的DaaS產品與服務

  • 概要
  • 目前服務
    • 行銷取向
    • 銷售取向
    • 社群取向

第5章 SWOT分析

第6章 結論、建議

  • 對第三方的資料外部化 vs. Oracle解決方案的內部資料
  • 未來的Oracle DaaS解決方案領域
    • 商業智慧即服務
    • 驗證和授權即服務
    • 匯報&分析
  • Oracle特有的策略、服務
    • 作成資料庫競爭企業的未來障礙
    • 作成DaaS的標準化生態系統
    • 作成產業認可的經營模式

第7章 附錄

  • 巨量資料服務
  • 分析服務
  • 數據類型的混合:結構化及巨量資料




Through many acquisitions in the ICT and digital media space, Oracle is positioning itself to be a preferred provider of the core technologies for cloud computing, communications, content, commerce and applications. The company is also leveraging its data management experience and expanding its Cloud Computing service with its Data as a Service (DaaS) offering.

DaaS is defined as any service offered wherein users can access vendor provided databases to utilize data in a Cloud-based service environment. DaaS is expected to grow significantly in the near future due to a few dominant themes including cloud-based infrastructure/services, enterprise data syndication, and the consumer services trend towards Everything as a Service (XaaS).

This research evaluates the DaaS market opportunity with a focus on anticipated industry leader, Oracle. The report analyzes Oracle's strategy, opportunities, and outlook. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Report Benefits:

  • BDaaS Forecast to 2019
  • Understand Data as a Service
  • Identify DaaS issues and challenges
  • Recognize the market potential for DaaS
  • Understand how DaaS is leverages Oracle DB
  • Identify Oracle's potential strategies and solutions

Table of Contents

1. Introduction

  • 1.1. Executive Summary
  • 1.2. Key Findings
  • 1.3. Target Audience

2. Company Overview

  • 2.1. Strategy
    • 2.1.1. General Company Strategies
    • 2.1.2. DaaS Specific Strategies

3. Data as a Service

  • 3.1. Overview
  • 3.2. Marketplace
    • 3.2.1. Overview
    • 3.2.2. DaaS Adoption Factors
  • 3.3. Forecasts

4. Oracle's DaaS Products and Services

  • 4.1. Overview
  • 4.2. Current Services
    • 4.2.1. Oracle DaaS for Marketing
    • 4.2.2. Oracle DaaS for Sales
    • 4.2.3. Oracle DaaS for Social

5. SWOT Analysis

6. Conclusions and Recommendations

  • 6.1. Externalizing Data to Third Parties vs. Internal Data for Oracle Solutions
  • 6.2. Future Oracle DaaS Solution Areas
    • 6.2.1. Business Intelligence as a Service
    • 6.2.2. Verification and Authorization as a Service
    • 6.2.3. Reporting and Analytics
  • 6.1. Oracle Specific Strategies and Offerings
    • 6.1.1. Create further Barriers for Database Competitors
    • 6.1.2. Create Standardized Ecosystem for DaaS
    • 6.1.3. Create Industry Accepted Business Models

7. Appendix: Existing and Future Opportunities

  • 7.1. Big Data Services
  • 7.2. Analytics Services
  • 7.1. Blending Data Types: Structured and Big Data


  • Figure 1: Oracle in Cloud, Coms, Apps, Content and Commerce
  • Figure 2: DaaS Model Architecture
  • Figure 3: BDaaS Forecast through 2019
  • Figure 4: DaaS Verification and Authorization
  • Figure 5: Oracle Big Data Offerings
  • Figure 6: Data Integration and Blending Architecture
  • Figure 7: Federated vs. Non-Federated Models
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