Central Data Repository

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

Choosing new hardware, storage, and other datacenter infrastructures for large data is a new challenge for IT professionals. Large data is unstructured information with unprecedented scale and form. It includes video, images, and semi-structured data (such as e-mail and text that is common on the web). 　　With more and more sensor-based mobile web monitoring devices and output data, the amount of data available continues to grow exponentially. The pressure to implement big data strategies often comes from the top, because managers believe that companies that can effectively use data will have greater advantages than those who are lagging behind ...

Subversion is a free, open source http://www.aliyun.com/zixun/aggregation/9591.html "> Version control System. Under Subversion Management, files and directories can transcend time and space. Subversion stores files in a central version library. This version library is very much like a normal file server, and it can record every file and directory modification. This will allow the data to revert to the previous version, and ...

"Tenkine Server channel May 21 News" With the advent of the big data age, the infrastructure that hosts the big data faces changes to cope with the big data revolution. Large data is unstructured information of unprecedented scale and form, with more and more sensor-based mobile devices and output data, the amount of data available will continue to grow exponentially. Large data strategies require changes in the data center infrastructure: storage requirements that result from large data increase by 60% to 80% a year, and given this rapid growth and current cost constraints, it buyers should choose to be able to ...

Cloud's supply-chain solution, http://www.aliyun.com/zixun/aggregation/12240.html "> Data collection and data-sharing methods have not revolutionized anything." Here are some of the experiences and lessons that these solutions can teach us about big data. Cloud-based solutions provide great value to the enterprise, and there is nothing more obvious than cloud computing's ability to handle large data. This is a good illustration of the cloud solution ...

End-to-end encryption policies must take into account everything from input to output and storage. Encryption technology is divided into five categories: file-level or folder-level encryption, volume or partition encryption, media-level encryption, field-level encryption and communication content encryption. They can be defined further by the encryption key storage mechanism. Let's take a look at the grim forecast: According to the US Privacy information exchange, One-third of the U.S. people will encounter the loss or leakage of personally identifiable information from companies that store data electronically this year. Whether that number is not exactly right, anyway the public knows the data leaks ...

Over the past three years, the Hadoop ecosystem has expanded to a large extent, with many major IT vendors introducing Hadoop connectors to enhance the top tier of Hadoop or the Hadoop release that the vendor uses. 　　Given the exponential growth in the deployment rate of Hadoop and the growing depth and breadth of its ecosystems, we wonder whether the rise of Hadoop will lead to the end of traditional data warehousing solutions. We can also put this issue in a larger context to discuss: to what extent, large data will change ...

HDS has accelerated the development of its cloud object storage HDI to http://www.aliyun.com/zixun/aggregation/6267.html "> Share data, retrieve old versions of files, and continuously migrate new files to a Hitachi based cloud." HDI is a physical or virtual caching device that provides a NAS interface for virtualized and extensible object storage by using the file data obtained from the Hitachi content platform (HCP) from remote and branch offices or other cloud storage users. Multiple ...

REVIEW: With open source programming tools, you can easily learn, modify, and improve the quality of your code based on open source licenses. This article collected 11 of the most popular and valuable open source programming tools. May give you a little surprise. Let's see it together NO.1 Rhomobile Rhodes Ruby may be the second most popular language on Github, if you want to use it to develop the iPhone may not be for you ...

This time, we share the 13 most commonly used open source tools in the Hadoop ecosystem, including resource scheduling, stream computing, and various business-oriented scenarios. First, we look at resource management.