A Relational Database

The industry has a wide consensus on the difficulty of large data landing. "We have 7,900 users around the world, more than 1000 users in the Asia-Pacific region, and 150 users in China, and the applications are landing," said the company. 　　"Http://www.aliyun.com/zixun/aggregation/13553.html" >splunk China sales director Hou Hairong said. Hou Hairong says, why is big data application landing difficult? A large part of the reason is Hadoop, the user for open source total ...

Cloud computing is the inevitable result of the development of information technology and the demand of information society. Cloud computing technology innovation has led to the success of the new business model, the existing electronic information industry and the application model has produced a huge shock, has far-reaching impact. IDC predicts that the global cloud computing sector will have a revenue of $800 billion trillion in the next 3 years. The entire "Twelve-Five" period, China's cloud computing industry scale is expected to reach 7500~10000 billion yuan. At present, the world's major IT vendors are competing into the cloud computing field, to occupy the commanding heights of the next generation of information technology. ...

When a big client wants to continue to invest more in your company, that's a good sign, and that's what the database start-up NuoDB is going through today, announcing the 14.2 million-dollar financing. Dassault Systèmes, Europe's second-largest software company (after SAP), has a strong interest in NuoDB and has been an investor. Dassault is a supplier of development tools for the 3D printing industry. Rather than letting customers run their software in their own data center, Dassault would prefer to ...

Large data analysis technology originally originated in the Internet industry. Data such as Web page archiving, user clicks, commodity information, user relations and so on form a continuous growth of mass data sets. These large data contain a wealth of knowledge that can be used to enhance the user experience, improve service quality, and develop new applications, and how to efficiently and accurately discover these knowledge will basically determine the location of major internet companies in a competitive environment. First of all, Google-led technology-oriented internet companies put forward the MapReduce technology framework, the use of Low-cost PC server cluster, large-scale concurrent processing of bulk things ...

Since the implementation of the big Cloud project of China Mobile, the construction of its cloud platform has been gradually improved, during the sixth session of the International Mobile Internet Symposium, China Mobile released a big Cloud 2.0. Following the Sutra 1.0/1.5 version, the launch of the Big Cloud 2.0 will further push the mobile cloud platform to commercial. Huang, dean of China Mobile Research Institute, also said that the 1.5 version of the big cloud has been effectively applied in many fields, while the 2.0 version not only shows that China Mobile's overall technology level has been greatly improved, but also narrowed the gap with Google, Amazon and other related products, and gradually walked to the business ...

When a big client wants to continue to invest more in your company, that's a good sign, and that's what the database start-up NuoDB is going through today, announcing the 14.2 million-dollar financing. Dassault Systèmes, Europe's second-largest software company (after SAP), has a strong interest in NuoDB and has been an investor. Dassault is a supplier of development tools for the 3D printing industry. Rather than letting customers run their software in their own data center, Dassault would prefer to ...

Today, "Bigdata" (large data) the advent of the era has been no doubt, especially in the telecommunications, financial and other industries, almost to the "data is the business itself". One of the more important trends in this is the socialization of data (socialization of 挟裹). From the blog forum to the gaming community to the microblog, from the Internet to the mobile internet to the IoT, the real-time networking of human beings and various physical entities has been and will continue to produce incalculable data. For the enterprises that always focus on the market, they ...

How fast is the tide of big data? IDC estimated that the amount of data produced worldwide in 2006 was 0.18ZB (1zb=100), and this year the number has been upgraded to a magnitude of 1.8ZB, which corresponds to almost everyone in the world with more than 100 GB of hard drives. This growth is still accelerating and is expected to reach nearly 8ZB by 2015. The storage capacity of the IT system is far from adequate, let alone digging and analyzing it deeply. In this article, Baidu Chief scientist William Zhang, Teradata Principal customer Officer Zhou Junling, Yahoo!...

SaaS is generally considered to be a provider for the enterprise to build the information required for all network infrastructure and software, hardware operating platform, and responsible for all the implementation of the prophase, the maintenance of the latter series of services, enterprises do not need to buy hardware and software, building rooms, recruiting IT staff, can use the Internet Information systems 　　Just like opening a tap to water, an enterprise leases software services from a SaaS provider, depending on the actual needs. At present, many multinational information technology industry companies in the world are developing SaaS based products and services to provide a technology platform for the future development of the Internet.

Recently read some articles about the development of database technology, basically revolve around the discussion of SQL and NoSQL to unfold. Remember when the NoSQL movement just started, "Dour No to SQL" slogan, of course, the slogan did not become a reality, people eventually accepted the not-only of SQL. But really to give NoSQL the next definition, it is not easy, people used to MongoDB, Redis such products as a general definition of NoSQL, can be attributed to the "four major categories." But ...

Because of the needs of the project, learning to use Hadoop, as with all the overheated technology, "big Data", "mass" such words on the internet over the sky flying. Hadoop is a very good distributed programming framework that is exquisitely designed and does not currently have the same level of weight as a substitute. It also touches on an internally used framework that encapsulates and customizes Hadoop, making it more responsive to business requirements. I also recently wanted to write some of the learning and use of Hadoop experience, but see the internet so flooded articles, I think to write a little note the same thing is really not ...

It's really tempting to get business on big Data technology, and Apache Hadoop makes the temptation more violent. Hadoop is a large scale scalable data storage platform that forms the foundation of most large data projects. Hadoop is powerful, but it requires the company to invest a lot of learning energy and other resources. If you get the right application, Hadoop can actually improve your company's business, but the application of this hadoop is fraught with thorns. On the other side, many businesses (not Google, of course) ...

From the 2008 60-man "Hadoop in China" technology salon, to the current thousands of-person scale of the industry technology feast, the seven-year BDTC (large data technology conference) has fully witnessed the transformation of China's large data technology and applications, faithfully depicting the large data field of technology hotspots, Precipitated countless valuable industry experience. At the same time, from December 2014 12 to 14th, the largest China data technology event will continue to lead the current field of technology hotspots, sharing the industry experience. In order to better understand the trend of industry development, understanding of enterprises ...

Today, internet-based applications face many challenges. Users expect to be able to use any device to access data anytime, anywhere. However, the size of the data, the interactive format of the data, and the size of the user's access may change at any time. Developers must quickly build and deploy new applications to meet these evolving needs. 　　With traditional data management platforms, it is necessary to continuously invest in servers, operating systems, storage, and networks to meet the growth and change of these requirements. Database services in the cloud, such as Microsoft's SQL Azure, provide a new way to deal with ...

The traditional business intelligence system only serves for the decision person, and is affected by the security factor, the analysis data can only be reflected in the local user terminal, but manifests the way almost is the ordinary computer. With the rapid development of computing and Internet technology, the mobility and activity space of sales, market and decision makers are more and more, more and more managers involved in decision-making, the real-time and interactive requirements of information transmission are more and more high, which puts higher demands on business intelligence. The development of the next generation business intelligence requires that it not only can provide strategic decision for senior decision-makers, but also can ...

The scheme has been successfully applied, which can realize the standard and efficient internationalization software development, and reduce the time and effort needed for software development. The development of Internet has promoted the communication of the whole world, it needs to develop the WEB application that satisfies the requirements of different regions ' language, culture and living habits, therefore, the internationalization of software has become the problem that must be solved. At home and abroad, there are some deficiencies in internationalization methods: Existing Dynamic Data internationalization solutions are not easy to transplant and reuse. There is no out-of-the-box Dynamic Data internationalization solution or framework. To solve the above problems, we need to propose a dynamic ...

In Western philosophy, failure is the fault of control and management. Wen/lang Ping, professor of the Chinese University of Hong Kong, top scholar of corporate governance I'm going to tell you a story about American High-tech companies.　　The story is about the boss of Oracle, who recently squeezed IBM away to buy solar micro-systems.　　In 1977, Ellison, 32, founded Oracle with two other people, who was a dropout who had not graduated from three universities. Don't underestimate this dropout of the older youth, their three guys level is not simple, most ...

The traditional IDC room Deployment architecture translation on the cloud solution, the advantage of the structure is relatively simple, in line with the experience of most developers, without the original architecture to make too many changes, you can quickly migrate to the cloud. Its disadvantage is the high coupling of various functions, not conducive to elastic expansion, not fully application of cloud computing advantages, later maintenance workload. Game traditional deployment architecture to interpret the security protection GB-level anti-DDoS cleaning service, users can open the 7-layer cleaning service to protect against CC attacks. Can also selectively open the free intrusion prevention and web site application Security monitoring services. CPU, Memory ...

Cloud computing is a way to provide information technology as a service (IT as a services). The concept of "service" needs to be viewed from the consumer (service user) perspective rather than from the service provider, so a basic feature is that cloud computing requires on-demand services, that is, users can receive immediate service as needed. From this perspective, cloud computing is like running water, electricity and gas in our public service, concentrating on supply and on-demand services and billing. Instead of buying and maintaining your own machine, why not try a server that can be accessed from the Internet? So use the cloud ...

Cloud computing "turned out" so many people see it as a new technology, but in fact its prototype has been for many years, only in recent years began to make relatively rapid development. To be exact, cloud computing is the product of large-scale distributed computing technology and the evolution of its supporting business model, and its development depends on virtualization, distributed data storage, data management, programming mode, information security and other technologies, and the common development of products. In recent years, the evolution of business models such as trusteeship, post-billing and on-demand delivery has also accelerated the transition to the cloud computing market. Cloud computing not only changes the way information is delivered ...