ResearchMoz presents this most up-to-date research on Big Data Leaders: Accenture, CSC Fujitsu, HP, Informatica, Mu Sigma, Opera Solutions, Oracle, and Tata Consultancy Services. The report focuses primarily on quantitative market metrics in order to characterize the growth and evolution of the Big Data Leaders: Accenture, CSC Fujitsu, HP, Informatica, Mu Sigma, Opera Solutions, Oracle, and Tata Consultancy Services
Albany, NY -- (SBWIRE) -- 02/10/2014 -- Big Data represents a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tool. It is also unstructured, meaning that it is not tabulated, correlated, etc. (e.g. it does not have a pre-defined data model or is not organized in a pre-defined manner).
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Big Data technologies enable organizations to handle huge datasets and generate information/insights from them with minimal delay time (sometimes in real-time).
Leading companies in Big Data are the already making great strides and will surely represent the forbearers of many great solutions yet to come.
Companies evaluated in this report* include:
Tata Consultancy Services
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For each company evaluated in this report we include the following:
Strategies and Plans
Mergers and Acquisitions
Partnerships and Alliances
Financial and Operational Review
Key Contract Wins Assessment
Analysis and Conclusions
Big Data and analytics companies
Data as a Service (DaaS) companies
Cloud-based service providers of all types
Data processing and management companies
Application Programmer Interface (API) companies
Public investment organizations including investment banks
Private investment including hedge funds and private equity
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The manufacturing industry account for a significant share of GDP globally and represents a large ecosystem. The competition in manufacturing sector worldwide forces companies to get smarter through in-depth real time analysis of large datasets produced internally and externally for deep insight and quick decision making.
Big Data refers to a massive volume of structured, unstructured and semi-structured data that is so large and difficult to process using traditional computer, database and software techniques.
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