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American professional Data mining company Socialgistsocialgist Tuesday announced

Socialgistsocialgist, a professional data mining company in the United States, announced in Tuesday that it had reached a partnership with everyone (Nyse:renn). Socialgist says the company is the first official data provider outside the mainland market for social media data from everyone.   Socialgist's main business is to provide social data solutions for a large number of social media analytics, research and business intelligence platforms. Socialgist President Darren Kelly (Darren Kell ...

Eric's latest June data show

The latest June data show that as a subsidiary of Youku, Youku's daily independent user visits and users spend more time each month than rivals Archie and PPS.   This data suggests that Youku's lead in the mobile video market has expanded. According to Eric's data, June Youku's Daily independent user visit was 14 million, continuing to pull up the gap with rivals.   In June, Archie's daily independent user access was 7.9 million, while the PPS was 6 million. In terms of user spending time each month, Youku also guarantees ...

Global mobile data traffic which strong

Although the Android system has surpassed iOS in monthly global smartphone shipments globally, iOS devices rank the first place in terms of network data traffic. Knowing network traffic contribution is also an important factor in measuring device popularity. However, according to the latest situation, this stalemate between Android and iOS may have significant changes in the coming months. Android and iOS traffic is close According to Net Applicati ...

Dropbox Acquires Enterprise Data Analytics Behind

Tencent Technology News June 17 news, Yahoo CEO Mayer in the field of mobile Internet crazy mergers and acquisitions, so that the board of directors and the industry was shocked, however, Yahoo's takeover pace and cloud storage giant Dropbox compared to only be trivial enough. Dropbox, which is preparing to go public, has acquired a company almost every week in recent months. According to the U.S. tech news site Venturebeat, as a storage giants, Dropbox has huge amounts of data from individuals and businesses, and recently acquired a company called Parastructure, the main ...

The goal is to make a wearable health data monitoring device

When they first contacted Connow founder Guo Hui early last year, their products were still in perfect condition.   The goal is to make a wearable health data monitoring device that can act as a warning for chronic diseases. After that is the project landing, financing ... And won the early investment of CAI.   However, the final product form is broken down into several, yesterday officially launched the first batch of products have 3 kinds, respectively, for the personal health management and design of the cloud law blood pressure rhythm meter, Yun Yue physique Analyzer and Cloud dynamic intelligent health monitoring wrist watch 3 intelligent hardware. One of the first listed is Cloud Yue Physique analyzer, and in Jingdong Mall starting ...

Open Data Center Committee set up to publish the technical specification of Scorpio complete Cabinet 2.0

September 1 Afternoon News (Yeu Ming) last week, the Open Data Center 2014 Summit held in Beijing National Convention Center, formally announced the opening of the data Center Committee was established, and the first public release of Scorpio Machine cabinet Technical Specifications 2.0, and introduced the Chinese Modular Data Center practical application and standardization of the latest progress.   Data Center Alliance Director, Ministry of Communications Development, Deputy Director Chen Jiachun attended the meeting and addressed the speech. It is understood that the summit hosted by the Open Data Center Committee, Ali, Baidu, Tencent, China Telecom, China Mobile, Intel Contractors, the Tide, Huawei, Kingston ...

Wave and Ruijie combine to launch new cloud data Center Program

Absrtact: September 11 News, yesterday, wave Group and Ruijie Network signed a strategic alliance agreement, launched a series of independent computing network depth integrated cloud data Center program. According to the agreement, the two sides will jointly develop strategic channels, sharing channel resources, select the key advantage of the September 11 news, yesterday, wave Group and Ruijie Network signed a strategic alliance agreement, launched a series of independent computing network depth integration Cloud Data Center program.   According to the agreement, the two sides will jointly develop strategic channels, share channel resources, and select key advantage areas to form a market alliance. The goal of cooperation between the two sides is to jointly ...

How do small companies cope with the big data boom?

Absrtact: Big Data has become one of the hottest concepts on the Internet, I've seen many entrepreneurs start talking about the commercial value of big data, the entrepreneurial project must be tied to big data, and some people are taking the big Data Age book as a Bible, as if buying "big data" has become one of the hottest concepts on the Internet, I see many entrepreneurs are starting to talk about the commercial value of large data, entrepreneurial projects must be linked to the "big data", some people are the "big Data Age," a book as a Bible, as if only to buy a sacrifice in a corner of the home, they are entitled to high ...

A method of data integrity detection for fine-grained cloud storage

Fine-grained cloud storage data integrity detection method in cloud storage service, a fine-grained cloud storage data integrity detection method is proposed in order to enable users to know the integrity of the data on the cloud server conveniently and quickly. The file is divided into a file block and then divided into a basic block, through the introduction of bilinear pairs and users randomly selected to detect the data block can detect the integrity of the data indefinitely, in addition, through the introduction of trusted third party to solve cloud user and cloud vendor disputes, to achieve the public verification of cloud storage data. Then the correctness and safety analysis of the proposed method are given, and the experiment proves that ...

[Document] A dynamic service private cloud system adapted to large-scale data processing

Dynamic service for large-scale data processing private cloud system Wang Zhu, Merlin, Lilei, Chang, Hu Guang Summary: In order to adapt to a private cloud environment with large amount of data, computationally intensive, complex process of computing task demand, for reference to the public cloud computing related theory and technology, combining the characteristics of private cloud environment, This paper presents an implementation scheme of a dynamic service private cloud system which adapts to large-scale data processing. This scheme uses the job file to describe the computing task, constructs the processing work flow dynamically with the job logic structure, and introduces the MapReduce parallel framework through the data stream driver service request.

Research on distributed data stream clustering algorithm based on Hadoop mapreduce

Research on distributed data stream clustering algorithm based on Hadoop mapreduce Cai Binlei Ningjiadong Zhu Shiwei Guo Qin with the continuous increase of data flow scale, the existing clustering algorithm based on grid has no effect on the clustering of data streams, can not find any shape clusters in real time, and can not delete the noise points in the data stream in time. This paper presents a distributed data stream clustering algorithm (Pgdc-stream) based on grid density in Hadoop platform environment, which facilitates the parallel clustering of data flow in MapReduce framework based on Hadoop.

A large data processing algorithm for energy efficient in heterogeneous cluster

A large data processing algorithm for energy efficiency in heterogeneous clusters Ding, Qin Xiaolin, Liuliang, Wang Tao Spring cluster energy consumption has exceeded its own hardware acquisition costs, and large data processing needs large-scale cluster time-consuming, so how to carry out high energy efficient data processing is a problem for both the owner and the user. is also a huge challenge to energy and the environment. Existing research is generally done by shutting down some nodes to reduce energy consumption, or by designing new data storage strategies to implement energy efficient data processing. Through analysis, it is found that even the least-used nodes exist ...

What level of data operation needs several levels

More and more companies, individuals have the importance of the data, more than ever before momentum. The concept of big data is everywhere, as if everyone is talking about big data, met without greetings of big data, as if it was not in the data world. So, was such a miraculous data from the outside world, in the end in what areas can promote business development? Or that business data on what level of demand? Where can the data to help business? With their many years of work experience and Data and business rough understanding, the business needs of the data summarized in four levels ...

Ramcloud makes future data center without hard drive

In today's era, solid-state hard disk has become a hot technology in the enterprise. But the computer science team at Stanford University thinks there is a better solution. They have come up with scalable and high-performance storage methods called Ramcloud. This solution can store all the data in dynamic random memory. You can also aggregate memory resources across the data center. The scalability and performance aspects of Ramcloud make it a key technology for high-performance computing. In particular, data-intensive applications, which are typically performed in compute-intensive applications. R ...

What are the two major misconceptions of data analysis

At ordinary times, whether the user research, product operation or competitive analysis, the analysis of the data, if there are some differences in the project who can not convince who, many times is also to take data to speak, visible in the development of products, statistics and analysis of the data is very important. Everyone said that the data is objective, but in fact, the data by the background environment, statisticians, statistical methods, analysts, such as the impact of multiple factors, so that we are in statistics and analysis often fall into the wrong, not the right answer. Let's say a few two common misconceptions about data. Misunderstanding one ...

From entity media to cloud storage: you will no longer have data

From ancient to ancient times, people are always in the record, are in storage.      From ancient stone carvings, bamboo slips, to cloth, paper, to compact discs and flash memory, storage has been becoming simpler and more massive. In the field of computers and Internet, storage has changed dramatically in just ten years. From small-capacity floppy disks to oversized removable hard disks, from portable high-capacity discs to smaller USB drives, from solid media to network-based cloud storage.      Regardless of capacity, media or use, personal storage has a qualitative upgrade. In the past, we have saved data to ...

Website Data analysis: Time factor needs to be considered

In the analysis of website data, time is one of the most common and indispensable dimensions, most of which are used to limit the range and granularity of index statistics, while time factors can also affect some statistical rules and details of indicators, and in some data analysis it is easy to overlook the effects of time factors,   These effects may mislead the final conclusion. Found that the problem is in a data extraction requirements, the site will release a lot of new content every day, these new content needs to be recommended, otherwise it will be buried, so many sites will have "the latest recommendations" and other modules ...

Data storage System of massive energy consumption based on hbase

The development of new concepts and new technologies, such as cloud computing and Gengjiguang, which is based on HBase, has promoted the rapid growth of data center construction, and a large amount of energy consumption equipment will produce large-scale energy consumption data. Aiming at the storage problem of the data of massive energy consumption data center, a large scale distributed data storage architecture based on HBase is proposed, which realizes the storage system of the data center massive energy consumption data by using the distributed database HBase. Experimental results show that the system has good usability, scalability and storage query efficiency. Based on HB ...

Let patients share their experiences, try to use data mining to get medical data

Abstract: The so-called long illness into doctor, each person in their own experience in the doctor can harvest a lot of relevant knowledge and experience, the experience to move to the line, to build a patient communication community, it is the Xiamen start-up company patient as I am doing. Patients such as my so-called "long illness into a doctor," each person in their own experience in the doctor can harvest a lot of relevant knowledge and experience, the experience to move to the line to build a patient communication community, it is the Xiamen start-up company "Patients like Me" is doing. "Patient Like Me" is a UGC patient exchange community. At the same time also have data digging ...

Research on QoS guarantee mechanism of multi-data center in cloud storage

Research on QoS guarantee mechanism of multi-data center in cloud storage Xia Chunzhong of Jiangsu University This paper analyzes the problem of bandwidth utilization of network link between multiple data centers in cloud storage, and presents a QoS-oriented network traffic scheduling model for multiple data centers. The optimization goal of the model is to ensure the performance requirement of data transmission at different QoS levels, and to maximize the network link bandwidth resource utilization. In this paper, a network traffic scheduling algorithm based on two-layer multi particle swarm is proposed, combining with the hierarchical management of cloud storage data center. The algorithm has faster convergence speed and avoids the traditional algorithm ...

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