The wave of data that began with the analysis of some Web service providers is spreading to the general business. This is because, even if the current conditions are not perfect, but in order to maintain competitiveness and maintain normal business, to make full use of large data. In this case, the following article will introduce the enterprise's intelligence of the top person to have to master the 5 items of large data. ▲ Screen 1:hortonworks Web <http://hortonworks.com/>) First, the situation requires enterprises, grasp the great data. Analyze ...
NoSQL database is currently managing http://www.aliyun.com/zixun/aggregation/13584.html "> Mass data in Web applications and other systems. In the future, the NoSQL system will adapt to real-time analysis, and become a part of enterprise-class NoSQL Data system integration work. Recently, executives from Oracle, MarkLogic and FOUNDATIONDB, as well as nosql-field companies, held nosq in San Jose, California ...
Cloud computing is now the darling of the IT world, but security concerns remain the reason why companies have been slow to adopt. These top security tips can help the IT team warm up quickly and become familiar with the technology. No one denies the benefits of cloud computing, flexibility, scalability and pay-for-use, but many are still debating whether it can provide a sufficiently secure environment for sensitive data. Cloud data security is a hot topic in the IT world; some people believe that the cloud is safer than the local environment, but the other side holds the opposite view. Given the complexity of the cloud, this security debate is not ...
1. Understanding large data large data analysis originated from large network service providers, such as Google, Yahoo, Twitter, they need not only the data generated by users, but also want to maintain the competitiveness of enterprises. Your company may be a very small company, and there will be a lot of data. "In the next few years, many industries, including healthcare, the public sector, retailing and manufacturing, will benefit from big data analysis," said GigaOm research director Jo Maitland, a consultancy firm in a recent report. ...
There are many methods for processing and analyzing large data in the new methods of data processing and analysis, but most of them have some common characteristics. That is, they use the advantages of hardware, using extended, parallel processing technology, the use of non-relational data storage to deal with unstructured and semi-structured data, and the use of advanced analysis and data visualization technology for large data to convey insights to end users. Wikibon has identified three large data methods that will change the business analysis and data management markets. Hadoop Hadoop is a massive distribution of processing, storing, and analyzing ...
Forecast industry trends for the Hadoop market (hardware, software, services and Haas, final applications, and geography) based on a recent report from the Joint market research (Allied harsh Research,amr): 2020, The global market for Hadoop is expected to grow at a compound annual growth rate of 58.2% in 2013-2020. Market share will rise from $2013 trillion to $2 billion by 2020 to $50.2 billion trillion, up from 25 times-fold. The demand for large data analysis is the whole hado ...
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