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(PRWEB) February 17, 2015

In 2013, the North America Text Analytics market was dominated by IBM, Oracle, Microsoft and SAP are the leader in the North America Text Analytics market and is expected to lead the market in the next five years as well. IBM is leading with highest market share in North America Text Analytics market.

Browse through the TOC of North America Text Analytics market for an analysis of industry trends, segments & forecasts. http://www.micromarketmonitor.com/market/north-america-text-analytics-6967316510.html

The company owns a wide product portfolio including the range of IBM SPSS products, Congnos Product, OpenPages products, Algorithm products, Varicent products, SPSS Text analytics for survey.The company operates through five business segments; Global Technology Services(GTS), Global Business Services(GBS), Software, Systems and Technology , and global financing . It is one of the leader in the technology market for their innovations and expansion in the software and solutions group. The Company’s major share of revenue is generated from software products and tools.

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Besides, Microsoft is also one of the major players in the North America Text Analytics market. Over the past few years the company has been focusing on Acquisitions as its key business strategies in order to increase its share in the North America Text Analytics market. The company has a wide product portfolio including windows, Office, Servers, Skype, Visual Studio, Dynamics, Azure, Xbox, Surface, Mobile and others. Its Service portfolio includes MSN, Bing, OneDrive, MSDN, Outlook, TecNet and others which serve as an important factor for its future growth.

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In North America Text Analytics market, leading players are adopting the strategies of new product launches, product approvals, partnerships, agreements, collaborations, joint ventures, acquisitions and expansion. Market players are adopting these strategies to access new technologies, expand their product portfolios, enter the growing markets, and to increase their market shares. In addition to the top market players companies like, Verint, TIBCO,Nice , are also primarily focusing on launching new Text Analytics systems, product approvals and strategic agreements, partnerships, and collaborations to widen their customer base.

Major strategic developments are taking place in the field of Cloud computing, big Data Analytics, CRM, real time analytics and Social Analytics. Dominant market players like, IBM, Oracle, Microsoft introduces several technologically advanced systems, and entered into strategic agreements and partnerships in order to keep the pace with industry trends.

Related Report:

Asia-Pacific Text Analytics Market

The Asia Pacific text analytics system market is expected to grow from $ 219.1 million in 2013 to $ 593.2 million by 2018, at a CAGR of 18.5% for the period 2013-2019. This market contributes 13.35%of the global market in 2014 and is poised to grow to 13.69% by 2019. This market is segmented by regions, applications, companies, types, and technologies. http://www.micromarketmonitor.com/market/asia-pacific-text-analytics-5374422414.html

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Hadoop applications are software frameworks that enable distributed manipulation of large amount of data. Using this framework for data distribution is a reliable, efficient and scalable way. Hadoop system is reliable proves from the fact that it maintains several copies of working data to ensure that processing can be redistributed around failed nodes and work can be performed without any difficulty. As far as efficiency of the system is concerned, it works on the principle of parallelization that allows data to process in parallel to increase the processing speed. Furthermore, it is confirmed that Hadoop applications are scalable. Due to this reason it permits operations on petabytes of data. Now you must be thinking that this system is offering so many benefits, it would be costly. But you would be surprised to know that this application is inexpensive and is available for use by anyone.

If you want to understand the system and it functions more closely, it is important that you understand the Hadoop architecture. In simple language, it is a framework which works in combination with several elements. To start with, the first element is the Hadoop distributed file system (HDFS). As the name suggest it is a file system, so its function is the storage of various files across storage nodes in a Hadoop cluster. This file system lies at the bottom, above which Map reduce engine resides. Now in the Map reduce engine there are two main components – Job Trackers and Task Trackers. For the external client, HDFS appears to be a traditional hierarchical file system, which comprises of Meta data (also called NameNode) and several data nodes. Here files can be created, deleted, moved, renamed and so on.

In the Hadoop architecture, files are stored in HDFS which are divided into blocks and these blocks are replicated to multiple data nodes (computers). In comparison to the traditional RAID architectures, there is a huge difference in HDFS. Here all the operations are controlled by the NameNode. The protocol used for all the communications within HDFS is TCP/IP protocol. If you are interested in knowing about the major use of Hadoop applications then you must be thrilled to know that this technology is used primarily for web search. One of the most interesting aspects of this application is the Map and Reduce process, which is inspired by Google’s development. Using this system, the user can easily identify the data from the defined search parameters.

On the whole, it seems to be a very useful application which is meant for everyone.

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