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Capturing Big Data in Social and Detection Systems: Market Opportunities and Challenges 2013 - 2019 - Product Image

Capturing Big Data in Social and Detection Systems: Market Opportunities and Challenges 2013 - 2019

  • ID: 2655558
  • October 2013
  • 157 Pages
  • Mind Commerce LLC

FEATURED COMPANIES

  • Amazon Web Services
  • Datameer
  • Emc
  • Hp-Big Data
  • IBM
  • Intel
  • MORE

Every large corporation collects and maintains a huge amount of data associated with its customers including their preferences, purchases, habits, travels, and other personal information. In addition to the large volume, much of this data is unstructured, making it hard to manage. This so called "Big Data" is a challenge for industry verticals yet also an opportunity.

The enormous growth potential of Big Data caught the attention of various large players such as IBM and Oracle, to name only a couple, who have developed a key strategic focus in this area and various vertical-specific offerings.

By now many people across various industry verticals understand the basic issues or at least have heard that Big Data is a big deal. However, most of the focus to date has been on the importance of optimizing data management and analytics. There has been very little analysis about challenges and opportunities for capturing Big Data.

This report provides critical evaluation of the front-end of Big Data: capturing data from various sources. This report focuses specifically on social systems as well as obtaining data through sensing/detection with an emphasis on RFID. The report READ MORE >

FEATURED COMPANIES

  • Amazon Web Services
  • Datameer
  • Emc
  • Hp-Big Data
  • IBM
  • Intel
  • MORE

1.0 Executive Summary

2.0 Introduction

2.1 What Is Big Data?

2.2 The Important V's Of Big Data

2.3 Big Data Growth Drivers

2.4 Detection: Sensors, Presence, Location, And More

2.5 Sensors In Consumer Sector

2.6 Sensors In Industry

3.0 Big Data Systems, Processes, And Procedures

3.1 Data Management And Big Data Management Systems

3.2 Big Data Framework & Technologies

3.3 Data Sources For Big Data

3.4 Big Data Analysis Challenges And Solutions

4.0 Major Big Data Companies

4.1 IBM

4.1.1 About The Company

4.1.2 Big Data Strategy

4.1.3 Big Data Solutions- Products And Services

4.1.4 Related Products

4.1.5 Our Analysis

4.2 Datameer

4.2.1 About The Company

4.2.2 Big Data Strategy

4.2.3 Big Data Products And Solutions

4.2.4 Our Analysis

4.3 Amazon Web Services

4.3.1 About The Company

4.3.2 Big Data Strategy

4.3.3 Products And Solutions

4.3.4 Our Analysis

4.4 Hp- Big Data

4.4.1 About The Company

4.4.2 Big Data Strategy

4.4.3 Products And Solutions

4.4.4 Related Solutions

4.4.5 Our Analysis

4.5 Spotfire

4.5.1 About The Company

4.5.2 Big Data Strategy

4.5.3 Product And Solutions

4.5.4 Related Products

4.5.5 Our Analysis

4.6 Intel

4.6.1 About The Company

4.6.2 Big Data Strategy

4.6.3 Products And Solutions

4.6.4 Related Solutions

4.6.5 Our Analysis

4.7 Emc

4.7.1 About The Company

4.7.2 Big Data Strategy

4.7.3 Products And Solutions

4.7.4 Related Products

4.7.5 Our Analysis

5.0 Big Data Sectors

5.1 Big Data And Healthcare

5.1.1 Known Issue And Challenges

5.2 Big Data And Tracking Industries

5.2.1 Known Issues And Challenges

5.3 Big Data In The Public Sector

5.3.1 Known Issues

5.4 Big Data In Retail Business

5.4.1 Known Issues And Challenges

5.5 Big Data In Finance

5.5.1 Known Issues And Challenges

6.0 Rfid And Social Integration

6.1 Rfid, Big Data Integration& Social Integration

6.2 Nfc Technology Overview

6.3 Current Market Dynamics& Social Media

6.4 Nfc In Mobile Commerce

7.0 Big Data Representation

7.1 Big Data Growth

7.2 Big Data State

7.3 Big Data Trends In Social Apps

8.0 Big Data Market

8.1 Big Data Applications

8.2 Big Data And Rfid

8.3 Big Data Ecosystem

8.4 The Big Data And Rfid Ecosystem

8.5 Big Data - Privacy And Public Policy Issues

9.0 Big Data And Rfid In Payment Systems

9.1 Current Applications

9.2 Big Data And Payment Systems

9.3 Market Analysis

9.4 The Future Of Big Data And Payment Systems

10.0 Big Data And Rfid Consumer Applications

10.1 Big Data And Rfid In Security Systems

10.2 Big Data And Rfid In Healthcare

10.3 Big Data In Rfid Amr Applications

11.0 Big Data & Rfid Tracking Systems

11.1 Rfid Tracking System

11.2 Rfid Implementation Domain And Big Data

11.3 Growth Analysis Of Rfid Tracking Systems

11.4 Predicting The Most Successful Rfid Applications

11.5 Mobile Payments And Tracking System

11.6 Known Issues And Challenges

12.0 Big Data In Rfid Challenges

12.1 Real-Time

12.2 Evaluation

12.3 Data Validation

12.4 Data Representation

12.5 Conclusions

13.0 Big Data - Cloud Applications

13.1 Saas And Big Data

13.2 Big Data And Connected Devices

13.3 Big Data Applications

13.4 Future Applications

13.5 The Potential For Google In Big Data, Rfid, And M2M

14.0 Big Data Analytics And Future Applications

14.1 Future Applications Using Big Data And Social Media

14.2 The New Ecosystem

14.3 Advertisement

14.4 User Tracking

14.5 Business Models

15.0 Big Data Forecasts

15.1 Overall Global Big Data Revenue 2013 - 2019

15.2 Global Big Data Revenue By Functional Area 2013 - 2019

15.3 Regional Big Data Revenue 2013 - 2019

16.0 Summary And Recommendations

Figures And Tables

Figure 1 Structured And Unstructured Big Data

Figure 2 Determining Relevancy In Big Data

Figure 3 Top Big Data Business Challenges

Figure 4 The Rich Data Social Science Future

Figure 5 Data Volume Of The Future

Figure 6 Enterprise Control Of Big Data

Figure 7 Api Growth 2005 - 2012

Figure 8 Big Data Social And Detection Landscape

Figure 9 Big Data Growth

Figure 10 Overview Across Verticals

Figure 11 Big Data Ecosystem

Figure 12 Big Data In Everyday Life

Figure 13 Big Data Domains

Figure 14 Big Data & Rfid

Figure 15 Big Data Rfid Lifecycle

Figure 16 Bid Data Verticals

Figure 17 Big Data Components

Figure 18 Big Data Stages

Figure 19 Big Data As A Service (Bdaas)

Figure 20: Global Big Data Revenue: 2013-2019 ($M)

Figure 21: Functional Big Data Revenue: 2013-2019 ($M)

Figure 22: Regional Big Data Revenue: 2013-2019 ($M)

Figure 23 Functional View Of Big Data Relationships

Figure 24 Sdm Systems And Players

Figure 25 Big Data Relationships Among Players

Table 1 - Big Data Market

- Amazon Web Services
- Datameer
- Emc
- Hp-Big Data
- IBM
- Intel
- Spotfire

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