Big Data Architecture

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Data Center Storage architecture

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 ...

Teradata Integrated large Data Analysis architecture

Teradata Corporation (Teradata Corporation, NYSE: TDC) recently announced the launch of the Teradata Unified Data Environment (TERADATA, unified data Environnement) and the Unified Data Architecture (Unified). Teradata Unified Data Environment is a framework that can help enterprises to deal with all types of data and a variety of teradata systems. Tere ...

Behind Big Data Solutions-open architecture is the future

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. For now, large data processing is facing three bottlenecks-large capacity, multiple format and speed, and the corresponding solution is proposed, which is extensibility, openness and next-generation storage technology. Capacity-high expansion ...

Data analysis platform architecture under large data

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 ...

Intel Architecture Cloud Data Center Biosphere

The next wave of data centers has fundamentally changed the way the enterprise IT infrastructure is built and run today.   As more and more enterprises are building it in a more open and flexible cloud environment, the positioning of the industry as an IT solution provider for IT infrastructure construction and service will change. In an open cloud environment, the objects of the IT Solution collaboration are also changing. As the enterprise's personalized demand for the cloud infrastructure becomes more and more strong, the transition to the most important partner for the solution provider of cloud infrastructure and cloud services begins with ...

Cloud Architecture: Expand Cloud vision, landing large data

Dong Xin: Ladies and gentlemen, good afternoon, welcome to the Hello Cloud architecture of the sub-forum, I am sure that many of you have participated in the morning meeting this afternoon in the Cloud Architecture forum, where they sat together to discuss how to put the cloud's vision, how to put the big data to the final landing, how to make our calculation , our storage, our network, can be better integrated and played in the era of cloud application architecture change. So we are also very happy today to invite experts in the industry, corporate executives, including our customers and our partners, so here I also represent super ...

Dell Storage Architecture Forum: let Big Data flow

"Tenkine Server Channel" with the advent of cloud computing and large data, data growth is out of control, the lack of flexibility of data layout is easy to produce islands of storage resources, migration data is also a large number of human intervention, date upgrade cost and disruptive is very high, the traditional IT environment has been unable to adapt to rapid changes in demand. "Data growth out of control" for the drawbacks of traditional storage, businesses need storage that is able to achieve higher efficiencies at lower cost, requiring time-saving rather than time-consuming storage solutions, with the need for business needs.

Responding to cloud business challenges: A new consideration of data Center network architecture

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 ...

The five characteristics of Cloud data Center network architecture

With the rise of new businesses such as cloud computing, mobile Internet and Web2.0, traditional data centers have been unable to meet. The industry is setting off a new wave of data center construction, with the next generation of cloud computing data centers. Network is one of the important components of cloud data center, the network Architecture of cloud data center must have five new technology features: 100G Ethernet technology, surge cache, network virtualization, unified Exchange, green energy-saving technology. 100G Ethernet Technology Bandwidth pressure is the core problem of cloud data center network. In the data center, like video-on-demand, 10G FCoE ...

The challenge of massive data: platform architecture for data analysis

The author of this article, Shesu is Admaster data mining director, Cloud computing practitioners, 10 data warehousing and data mining consulting experience, is focused on the distributed platform of mass data mining and machine learning. The following is the full text of the article: with the Internet, mobile Internet and the development of things, no one can deny that we have effectively ushered in a massive data era, IDC, a data-research firm, expects 2011 data to reach 1.8 trillion GB, and the analysis of these massive data has become a very important and urgent requirement. As an Internet number ...

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