Capturing Big Data in Social and Detection Systems Industry size,shares,Research Trends,Growth,Study,Analysis,Forecast

Researchmoz presents this most up-to-date research on"Capturing Big Data in Social and Detection Systems Industry size,shares,Research Trends,Growth,Study,Analysis,Forecast".The report focuses primarily on quantitative market metrics in order to characterize the growth and evolution of the Remote Patient Monitoring Market.

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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 includes Big Data revenue forecasts, predictions about the future of Big Data and social/detection, and related recommendations.

 

Target Audience: 

• Big Data companies
• RFID and NFC companies
• Social media and networks
• Presence detection companies
• Fortune 1000 corporations of all types
• Database and related infrastructure providers
• ICT infrastructure and service providers of all types
• Data aggregators, storage and management providers
• Telecommunications infrastructure and service providers
• Government including homeland security and law enforcement 

 

Key Findings: 

• Social, search, and ecommerce systems are a key source of unstructured data
• Future Big Data systems will rely upon an automated feed from various commercial and private sources
• Big Data is a big opportunity for those companies that position themselves for future systems integration
• There is an important role for hybrid Big Data and API solutions that combine the best of both worlds for data

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Table of Contents: 

1.0 EXECUTIVE SUMMARY 6

2.0 INTRODUCTION 7

2.1 WHAT IS BIG DATA? 7

2.2 THE IMPORTANT V’S OF BIG DATA 8

2.3 BIG DATA GROWTH DRIVERS 10

2.4 DETECTION: SENSORS, PRESENCE, LOCATION, AND MORE 11

2.5 SENSORS IN CONSUMER SECTOR 11

2.6 SENSORS IN INDUSTRY 11

3.0 BIG DATA SYSTEMS, PROCESSES, AND PROCEDURES 13

3.1 DATA MANAGEMENT AND BIG DATA MANAGEMENT SYSTEMS 16

3.2 BIG DATA FRAMEWORK & TECHNOLOGIES 18

3.3 DATA SOURCES FOR BIG DATA 22

3.4 BIG DATA ANALYSIS CHALLENGES AND SOLUTIONS 24

4.0 MAJOR BIG DATA COMPANIES 32

4.1 IBM 32

4.1.1 ABOUT THE COMPANY 32

4.1.2 BIG DATA STRATEGY 32

4.1.3 BIG DATA SOLUTIONS- PRODUCTS AND SERVICES 33

4.1.4 RELATED PRODUCTS 33

4.1.5 OUR ANALYSIS 34

4.2 DATAMEER 35

4.2.1 ABOUT THE COMPANY 35

4.2.2 BIG DATA STRATEGY 36

4.2.3 BIG DATA PRODUCTS AND SOLUTIONS 36

4.2.4 OUR ANALYSIS 37

4.3 AMAZON WEB SERVICES 38

4.3.1 ABOUT THE COMPANY 38

4.3.2 BIG DATA STRATEGY 38

4.3.3 PRODUCTS AND SOLUTIONS 38

4.3.4 OUR ANALYSIS 39

4.4 HP- BIG DATA 40

4.4.1 ABOUT THE COMPANY 40

4.4.2 BIG DATA STRATEGY 40

4.4.3 PRODUCTS AND SOLUTIONS 40

4.4.4 RELATED SOLUTIONS 42

4.4.5 OUR ANALYSIS 42

4.5 SPOTFIRE 43

4.5.1 ABOUT THE COMPANY 43

4.5.2 BIG DATA STRATEGY 44

4.5.3 PRODUCT AND SOLUTIONS 44

4.5.4 RELATED PRODUCTS 45

4.5.5 OUR ANALYSIS 45

4.6 INTEL 46

4.6.1 ABOUT THE COMPANY 46

4.6.2 BIG DATA STRATEGY 46

4.6.3 PRODUCTS AND SOLUTIONS 47

4.6.4 RELATED SOLUTIONS 48

4.6.5 OUR ANALYSIS 48

4.7 EMC 48

4.7.1 ABOUT THE COMPANY 48

4.7.2 BIG DATA STRATEGY 48

4.7.3 PRODUCTS AND SOLUTIONS 49

4.7.4 RELATED PRODUCTS 50

4.7.5 OUR ANALYSIS 51

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