What Is Modern Data Architecture

The purpose of the data center is to make better use of data, data mining and data efficiency. The application of cloud computing technology in the data center is an inevitable trend. It is important to study the information security architecture of cloud computing data Center for the benefit from data center to be supported by a relatively safe and stable environment. I. Cloud computing Overview (i) cloud computing technology ranked first among the top ten most strategic technologies and trends for most organizations, Gartner, a world-renowned market research consultancy. Cloud computing refers to the delivery of IT infrastructure ...

The achievements of modern science and technology make the human organs in space has been greatly extended, if the telephone is the extension of human voice, television is the extension of human vision, the data center is the extension of the human brain, then the network is a variety of extensions, as well as between the extension and the subject exchange information between the transmission of the instructions of the nervous system. The normal nervous system is one of the basic signs of a healthy human being, similarly, the large bandwidth, the low time delay, the high reliable network system is also makes the human various organs to extend effectively, enters the cloud age the basic guarantee. Cloud business's challenge to the network as information services enter ...

Guide: Mike Loukides is the vice president of the content strategy of O ' Reilly Media, and he is very interested in programming languages and UNIX system management, with system configured tuning and UNIX power Tools. In this article, Mike Loukides put forward his insightful insights into nosql and thought deeply about all aspects of modern database architecture. In a conversation last year, Basho, CTO of the company, Justin Sheehy, recognized ...

With the technology wave of SOA, Web2.0, cloud computing and so on, the application of virtualization is turning to cloud computing, so how can virtualized data centers be managed? In the view of the user, traditional x86 computing patterns need to be bundled with hardware, operating systems, and applications, and as the user system grows, there are a number of challenges, such as the accompanying inflexible infrastructure, which results in a delay in deploying the application and its corresponding availability, Security and scalability are also greatly discounted, resource utilization is also a serious shortage of conditions. In addition, SOA ...

The public cloud service has subverted the traditional practice of establishing a wide area network (WAN), and engineers should respond. Andre Kindness, a senior analyst at Forrester Research, says companies have invested a lot of money into cloud services, especially software as a service (SaaS), but they have not invested in a network architecture upgrade to provide an acceptable performance and user experience. According to a Forrester study sponsored by Juniper Networks and XO communications, although businesses have deployed public cloud services, they are also ...

Next generation signal Intelligence reconnaissance architecture: application of large data concept Yang calf Yang Zhibang Railand Sword Large data are going into all walks of life, the field of signal intelligence reconnaissance will also have a significant impact. Firstly, this paper introduces the concept of large data, then analyzes the characteristics and problems of modern signal intelligence reconnaissance, uses the concept of large data to construct the next generation Signal intelligence reconnaissance system, designs a new type of single station structure of resource visualization and a new system framework which can reconstruct system level according to reconnaissance demand, The key problems to be solved in the construction process are analyzed.

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 ...

Ethernet SAN Solution Developer Coraid announced the acquisition of Yunteq, a cloud architecture software vendor with a public cloud and private cloud. The Coraid Ethernet SAN platform eliminates the complexity of traditional San multiple storage-tier architectures, providing an ideal platform for automated, resilient storage infrastructures. The Yunteq mature resource management architecture and policy-driven architecture engine automates storage allocation and policy configuration for the network, storage, and security tiers, reducing operational costs, is an ideal complement to the Coraid Breakthrough Ethernet San Architecture. Cor ...

Integration strategy Data integration refers to the combination of data from different systems for business users to study different industry behavior and customer behavior data processing methods. In the early days of data integration, data was limited to trading systems and their applications.   The development of business decision is guided by the decision platform, and the limited dataset provides the foundation of creating the decision platform. Data capacity and data types have grown dramatically over the past 30 years, with data warehousing technology from scratch, and infrastructure and technology to meet analysis and data storage requirements. All this has revolutionized the prospects for data integration. ...

Integration strategy Data integration refers to the combination of data from different systems for business users to study different industry behavior and customer behavior data processing methods. In the early days of data integration, data was limited to trading systems and their applications.   The development of business decision is guided by the decision platform, and the limited dataset provides the foundation of creating the decision platform. Data capacity and data types have grown dramatically over the past 30 years, with data warehousing technology from scratch, and infrastructure and technology to meet analysis and data storage requirements. All this has revolutionized the prospects for data integration. ...