100 Gb Ssd

"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing. Star Ring Technology CTO Sun Yuanhao ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF Large data Experts committee, the Chinese Academy of Sciences and CSDN co-organizer, to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology conference? (Big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Conference in Beijing new Yunnan Crowne Plaza grand opening. Star Ring Technology CTO Sun Yuanhao's keynote address is "2015 ...

It companies around the world are working to virtualize and automate data centers in the hope of helping their business achieve higher value and lower costs, delivering new data-driven services faster and more efficiently. Intel (R) Xeon (TM) processor-based servers provide the foundation for this innovation. These servers account for the vast majority of all servers in the current virtualization center and cloud environment, and can support most of the most high-performance workstations. Performance improvement up to 35% Intel Xeon Processor e5-2600 ...

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 ...

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 ...

In the past few years, the use of Apache Spark has increased at an alarming rate, usually as a successor to the MapReduce, which can support thousands of-node-scale cluster deployments. In the memory data processing, the Apache spark is more efficient than the mapreduce has been widely recognized, but when the amount of data is far beyond memory capacity, we also hear some organizations in the spark use of trouble. Therefore, with the spark community, we put a lot of energy to do spark stability, scalability, performance, etc...

"Tenkine Beijing May 16 News" Recently, there are businesses on the entire new generation of Gen8 series http://www.aliyun.com/zixun/aggregation/13737.html "> Blade server Promotion." The model for the promotion of HP ProLiant bl460c Gen8 (666159-B21), standard case, the current sales of only 24000 VAT invoices, the price is extremely high, interested friends may wish to further consult agents---...

As life grows richer, large numbers become more difficult to deal with, and because of the volume of data and the variety of data types, technicians have to overcome a lot of challenges and obstacles in the process of analysis. This article discusses why data becomes more complex and difficult to manage, and what challenges and obstacles we face when we analyze, consolidate, and store it, and, of course, what kind of opportunities the future brings with big data. Big data is really big and complex. How big a simple example to go to a kid's birthday party. When you start, you will send ...

Hadoop is a highly scalable, large data application that can handle dozens of TB to hundreds of PB of data through fewer than thousands of interconnected servers. This reference design realizes a single cabinet of Hadoop cluster design, if users need more than one cabinet of Hadoop cluster, can expand the design of the number of servers and network bandwidth easy to achieve expansion. Hadoop solution The features of Hadoop design Hadoop is a low-cost and highly scalable large data place ...

As life grows richer, large numbers become more difficult to deal with, and because of the volume of data and the variety of data types, technicians have to overcome a lot of challenges and obstacles in the process of analysis. This article discusses why data becomes more complex and difficult to manage, and what challenges and obstacles we face when we analyze, consolidate, and store it, and, of course, what kind of opportunities the future brings with big data. Big data is really big and complex. How big a simple example to go to a kid's birthday party. When you start, you will send ...