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Big Data - Thematic Research

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Restricted to one authorized user; Open on 1 PC/ mobile / Tablet only.
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  • Details
  • Table Of Content
  • Licence Rights
  • Section Purchase
  • Products and Companies

Details

Big Data-Thematic Research

 

Summary

 

Today's digital economy is powered by data. It is produced in abundance by both individuals and enterprises and stored in vast data centers, some of which cover hundreds of thousands of square feet. Several prominent businesspeople and a number of leading publications have described data as the new oil, capable of generating significant value if used in the right way.

 

The challenge for enterprises is not collecting data-unlike oil, data is not scarce, nor is it difficult to extract-but deriving actionable insight from the wealth of information that they accumulate on a daily basis. This is where Big Data technologies come in, with their ability to handle extremely large, diverse data sets that, when analyzed, can reveal patterns, trends and associations, especially relating to human behavior and interactions.

 

Big Data has applications across industries, from providing detailed customer profiles for retailers to improving the drug discovery process through the use of predictive modeling. The opportunities available to those companies that can harness the power of Big Data are clear and wide-ranging, but it is not a one-size-fits-all solution; businesses need to tailor their approach to their own specific requirements and use cases.

 

Scope

 

- Big Data has applications across industries, from providing detailed customer profiles for retailers to improving the drug discovery process through the use of predictive modeling.

- The report analyses the opportunities available to companies that can harness the power of big data.

- It also highlights the need to tailor their approach to their own specific requirements and use cases.

 

Reasons to buy

 

- The report focuses on the seven key technologies within the big data theme, and the leaders in each of these technologies.

- It highlights the main trends over the next 12 to 24 months, classifying these trends into three categories-data trends, technology trends, and data center trends.

- The report also provides an industry analysis and examines the big data value chain.

- It also uses scorecards to identify the leading companies in a sector.

- It offers a technology briefing of how big data combines traditional data management technologies with new forms of data processing that are better suited to modern formats.

READ MORE

Table Of Content

Scope

Table of Contents

PLAYERS 3

TRENDS 4

Data trends 4

Technology trends 5

Data center trends 7

INDUSTRY ANALYSIS 9

A variety of trends are driving growth in Big Data 9

Mergers and acquisitions 12

Timeline 13

VALUE CHAIN 15

Big Data generation 15

Big Data management 15

Big Data product development 16

Big Data consumption 16

COMPANIES SECTION 17

Public companies 17

Private companies 22

SECTOR SCORECARDS 24

IT services sector scorecard 24

Who's who in the IT services sector? 24

Thematic screen 25

Valuation screen 26

Risk Screen 27

Application software sector scorecard 28

Who's who in the application software sector? 28

Thematic screen 29

Valuation screen 30

Risk Screen 31

TECHNOLOGY BRIEFING 32

GLOSSARY 34

APPENDIX: OUR THEMATIC RESEARCH METHODOLOGY 37

Licence Rights

Single User License:
Report can be used by individual purchaser only

Site License:
Report can be shared by unlimited users within one corporate location, e.g. a regional office

Corporate User License: 
Report can be shared globally by unlimited users within the purchasing corporation e.g. all employees of a single company

Section Purchase

To know more information on Purchase by Section, please send a mail to support@kenresearch.com

Products and Companies


Companies

Alteryx

Amazon

Arista Networks

Cisco Systems

Cloudera

Hortonworks

HPE

IBM

Intel

Google

Juniper Networks

Micron Technology

MicroStrategy

Microsoft

NeoPhotonics

Nutanix

Nvidia

Oracle

Red Hat

SAP

Software AG

Tableau Software

Talend

Vmware

Capsenta

Dataiku

Data Virtuality

Delphix

Denodo Technologies

Informatica

Logi Analytics

MarkLogic

PostgreSQL

Qlik Technologies

RapidMiner

Reltio

TIBCO

Big Data-Thematic Research

 

Summary

 

Today's digital economy is powered by data. It is produced in abundance by both individuals and enterprises and stored in vast data centers, some of which cover hundreds of thousands of square feet. Several prominent businesspeople and a number of leading publications have described data as the new oil, capable of generating significant value if used in the right way.

 

The challenge for enterprises is not collecting data-unlike oil, data is not scarce, nor is it difficult to extract-but deriving actionable insight from the wealth of information that they accumulate on a daily basis. This is where Big Data technologies come in, with their ability to handle extremely large, diverse data sets that, when analyzed, can reveal patterns, trends and associations, especially relating to human behavior and interactions.

 

Big Data has applications across industries, from providing detailed customer profiles for retailers to improving the drug discovery process through the use of predictive modeling. The opportunities available to those companies that can harness the power of Big Data are clear and wide-ranging, but it is not a one-size-fits-all solution; businesses need to tailor their approach to their own specific requirements and use cases.

 

Scope

 

- Big Data has applications across industries, from providing detailed customer profiles for retailers to improving the drug discovery process through the use of predictive modeling.

- The report analyses the opportunities available to companies that can harness the power of big data.

- It also highlights the need to tailor their approach to their own specific requirements and use cases.

 

Reasons to buy

 

- The report focuses on the seven key technologies within the big data theme, and the leaders in each of these technologies.

- It highlights the main trends over the next 12 to 24 months, classifying these trends into three categories-data trends, technology trends, and data center trends.

- The report also provides an industry analysis and examines the big data value chain.

- It also uses scorecards to identify the leading companies in a sector.

- It offers a technology briefing of how big data combines traditional data management technologies with new forms of data processing that are better suited to modern formats.

READ MORE

Scope

Table of Contents

PLAYERS 3

TRENDS 4

Data trends 4

Technology trends 5

Data center trends 7

INDUSTRY ANALYSIS 9

A variety of trends are driving growth in Big Data 9

Mergers and acquisitions 12

Timeline 13

VALUE CHAIN 15

Big Data generation 15

Big Data management 15

Big Data product development 16

Big Data consumption 16

COMPANIES SECTION 17

Public companies 17

Private companies 22

SECTOR SCORECARDS 24

IT services sector scorecard 24

Who's who in the IT services sector? 24

Thematic screen 25

Valuation screen 26

Risk Screen 27

Application software sector scorecard 28

Who's who in the application software sector? 28

Thematic screen 29

Valuation screen 30

Risk Screen 31

TECHNOLOGY BRIEFING 32

GLOSSARY 34

APPENDIX: OUR THEMATIC RESEARCH METHODOLOGY 37

Single User License:
Report can be used by individual purchaser only

Site License:
Report can be shared by unlimited users within one corporate location, e.g. a regional office

Corporate User License: 
Report can be shared globally by unlimited users within the purchasing corporation e.g. all employees of a single company

To know more information on Purchase by Section, please send a mail to support@kenresearch.com

Companies

Alteryx

Amazon

Arista Networks

Cisco Systems

Cloudera

Hortonworks

HPE

IBM

Intel

Google

Juniper Networks

Micron Technology

MicroStrategy

Microsoft

NeoPhotonics

Nutanix

Nvidia

Oracle

Red Hat

SAP

Software AG

Tableau Software

Talend

Vmware

Capsenta

Dataiku

Data Virtuality

Delphix

Denodo Technologies

Informatica

Logi Analytics

MarkLogic

PostgreSQL

Qlik Technologies

RapidMiner

Reltio

TIBCO