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Do not simply think that the mobile device as an application terminal is the management of mobile software. Mobile Internet has spawned a lot of new applications different from the past, and mobile applications even lead to changes in the management software market. Management software has ushered in a mobile storm. The veteran manufacturers are gearing up to make changes. The newly challenged ambassadors are ambitious. A contest involving strategic vision, technology platform, application innovation and financial strength has started. Mobile Internet has undoubtedly become the current IT industry, one of the biggest hot spots. 2014 Gartner released strategic top ten technologies and ...

The big data age has come and has quietly influenced our lives. According to a recent study by IDC, 1 million new links are shared every 20 minutes on Facebook and 10 million user reviews are released. 　　Facebook and all other Internet sites, Internet applications, have gradually become the entire data collection, analysis, processing and value-added architecture. In China, social networks are also in full swing. Sina Vice President Wang Gaofei has said that Sina Weibo has registered more than 300 million users, users on average daily release more than 100 million micro bonnet ...

Almost everyone realizes that big data is changing people's lives, and that it will bring about a complete revolution, including technology, products, industries and even the entire economic model. A government-issued policy is just the right way to encourage people to develop big data. On the same day, the State Council issued "on the promotion of information consumption to expand domestic demand", made clear that by 2015, information consumption of more than 3.2 trillion yuan, an average annual growth of more than 20%, driving the relevant industries more than 1.2 trillion new output, which based on the Internet of new information consumption scale reached 2.4 trillion yuan ...

The information about the big data is overwhelming and dazzling. Although the information is wonderful, we also see the value behind the big data, but many companies do not know how to do it. In a pragmatic manner, using low cost, high speed capture and real-time analysis of large data to obtain the key information needed for core business and strategic decision, so as to enhance the level of business management and strategic decision, and ultimately create huge commercial value, perhaps the best interpretation of large data value. In the process of analyzing large data, the traditional bi (business intelligence) approach is that IT staff ...

In large data technology, Apache Hadoop and MapReduce are the most user-focused. But it's not easy to manage a Hadoop Distributed file system, or to write MapReduce tasks in Java. 　　 　　Then Apache hive may help you solve the problem. The Hive Data Warehouse tool is also a project of the Apache Foundation, one of the key components of the Hadoop ecosystem, which provides contextual query statements, i.e. hive queries ...

Micro-errand is a mobile end of the application, the flexible labor and interactive marketing requirements of the enterprise and have leisure to complete the task of the people, through the acceptance, these users will receive the corresponding remuneration. The micro-errand has now gained millions of yuan of angel investment. At the end of the day there are some people on the mobile phone, and the other end of the brand enterprises also have a lot of "flexible labor" demand. The APP is built on a bridge at both ends, making the task docking platform, allowing users to spend a bit of time doing tasks to earn extra money. Now on the micro-errand there are roughly three types of tasks docking: a ...

As data grows in hundreds of terabytes, we need a unique technology to address this unprecedented challenge. Big data analysis ushered in the great era of the global organizations of all walks of life have realized that the most accurate business decisions from the facts, not a figment of the imagination. This means that they need to use the decision model and technical support based on data analysis in addition to the historical information of the internal trading system. Internet-clicked data, sensing data, log files, mobile data with rich geospatial information and various kinds of comments involving the network have become various forms of mass information. ...