Hadoop的全球市場:各國 (美國·加拿大·印度·中國·日本·英國) 市場，企業簡介，佔有率，趨勢，分析，規模，機會，分類和2015年∼2021年的預測
Global Hadoop Market Insights, Opportunity Analysis, Market Shares and Forecast 2016 - 2022
|出版商||Occams Business Research & Consulting Pvt. Ltd.||商品編碼||345613|
|出版日期||內容資訊||英文 140 pages
|Hadoop的全球市場:各國 (美國·加拿大·印度·中國·日本·英國) 市場，企業簡介，佔有率，趨勢，分析，規模，機會，分類和2015年∼2021年的預測 Global Hadoop Market Insights, Opportunity Analysis, Market Shares and Forecast 2016 - 2022|
|出版日期: 2016年02月06日||內容資訊: 英文 140 pages||
Hadoop is a data storage processing system that enables data storage, file sharing, data analytics etc. The technology is scalable & enables effective analysis from large unstructured data therefore adding value. With increasing role of social media and internet communication Hadoop is being largely used by various spectrum of companies ranging from Facebook to Yahoo. Other big users of Hadoop include Cloudera, Hortonworks, IBM, Amazon, Intel, Mapr, Microsoft. This technology facilitates its users to handle more data through enhanced storage capacity also enables data retrieval in case of hardware failure.
Hadoop as a solution is increasingly offering data retrieval and data security features. These features are getting better with time. This is leading to enhanced solution to database management systems (DBMS). Hadoop software is the highest growing market in comparison to hardware and services. In terms of geographical segmentation, North America expected to lead the revenues in this market due to higher rate of technology adoption.
The exploding big data from the web has generated huge opportunities for storage and analytics software. The development of e-commerce results in increase in amount of unstructured data from social media. As a result, large and complex datasets are being generated in almost all business activities. Due to which the need for storage, maintenance, and analysis of such data sets has arrived. Hadoop has the ability to handle all types of data from every types of systems. It not only let you to store data but also to reveal insights by establishing relationships between different data sets. . The explosion of the volume of content, and more importantly, new forms of it including Tweets and posts to social media, has increased the need to use any type of information from nearly any source.