Data Architecture Definition

The storage system is the core infrastructure of the IT environment in the data center, and it is the final carrier of data access. Storage in cloud computing, virtualization, large data and other related technologies have undergone a huge change, block storage, file storage, object storage support for a variety of data types of reading; Centralized storage is no longer the mainstream storage architecture of data center, storage access of massive data, need extensibility, 　　Highly scalable distributed storage architecture. In the new IT development process, data center construction has entered the era of cloud computing, enterprise IT storage environment can not be simple ...

Customers call every day to modify product features, a simple requirement may be done for one months. The more bulky the product, the more and more bugs to catch the time limit. Headache！ Products from the primary version to now four years, the relevant programmers come and go for three batches, patching on the patch is often the case, a lot of functions just opened a head, another project manager is forgotten. We are always afraid of customers in this product to put forward new requirements, as long as customers still use the past, can not change it. The limitations of these rigid codes can be tolerated even if they are not changed. Yesterday just on the function ...

ICT is fast driving the integration of traditional it and CT technology with the market. The market for ICT is expected to be $ trillion by 2020. From the IT architecture, ICT drives the rapid evolution of it architectures from T2 to T3. In this evolution, the software definition data center becomes the cornerstone Technology of data center standardization, simplifies the deployment management process of it in heterogeneous environment, and enables users to dynamically and automatically configure and manage resources according to SLA requirements. For it vendors, software definition Data Center (SDDC) significantly reduce the traditional equipment layer technology development difficulty, improve ...

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

October 23, the wave at the "Inspur World" technology and application Summit for the first time announced software definition Data Center (SDDC) strategy, positioning it as a wave of cloud computing an integral part of the overall strategy, it is clear that the change in the software Definition Data Center market full force. In the subsequent "Software Definition data center infrastructure and Industry application sub-forum", the wave of SDDC strategy to the three-dimensional interpretation of the core concept of this strategy-fusion architecture (Smart architecture), showing the wave defined by the soft ...

Wave Group at the two-year "Inspur World 2014" Technology and Applications Summit, the wave of the first release of a fusion architecture strategy for the IaaS layer, "cloud computing, large data, mobile interconnection, while changing the world, but also to the data center facing new challenges." In order to adapt to the explosive growth of information processing needs, the convergence of the cloud data center will be the trend. "Software definition + hardware refactoring = Fusion architecture," said Wang Endong, executive director of Wave Group. The Fusion architecture product should first complete the hardware refactoring to truly implement the software definition. "Expected ...

Write a few articles about the information architecture and systematically output the information architecture I understand. Write in front of the words sent a blog about recruitment information Architecture Intern, received a lot of resumes. But when it came to the information architecture, most of them did not understand, and a little bit of knowledge pulled a lot of things. I found the reason: 1 Web information architecture This book is too conceptual, too academic. Most people don't know how to guide practice. 2 people kidnapped the word "information architecture" and took it out to scare people with fur or something that didn't even have anything to do with the information architecture. Another reason is that we ...

--Make it easier for users to find the information they need 1 recently suddenly wanted to write a topic class article, on how to make users more convenient and quick to find the information they need on the site, of course, can not be divorced from the theme of the blog-site data analysis, so here is mainly about how to optimize the site through the site analysis, To achieve the user's quick access to information, the first introduction is the information architecture of the website. About the information architecture, website design students are experts, I am here just to swim, according to the university reading information structure of some of the remaining memories, plus these days pro ...

Introduction Cloud application developers and DevOps have successfully developed tens of thousands of applications for IaaS (Amazon AWS, Rackspace, etc.) and PAAs (Azure, Google App Engine, Cloud Foundry, etc.) platforms. These platforms provide basic security mechanisms such as authentication, Dos attack defense, firewall policy Management, logging, basic user and account management, but security concerns remain the primary obstacle to enterprise cloud implementations. Security concerns for the cloud, deploying from a secure configuration ...

Something happened in August, but the data presented is backward: Google 1 minutes worth 110,000 dollars, Amazon 100 minutes worth 7 million dollars and so on. We can feel clearly that the data that beats every minute is being collected, kept (stored) and analyzed, and brings value!　　This is the nature of cloud computing and large data, and one of the fundamental reasons IT systems need to transition from traditional architectures to cloud architectures. Remember the fifth session of China's cloud Computing conference, LSI President and CEO Abhi Talwalkar Clear Table ...