Zhou Changyu: The characteristics of data asset Management integrated machine

2014 Zhongguancun Large Data day on December 11, 2014 in Zhongguancun, the General Assembly to "aggregate data assets, promote industrial innovation" as the theme, to explore data asset management and transformation, large data depth technology and industry data application innovation and ecological system construction and so on key issues. The Conference also carries the questions from the government authorities to the needs and practices of all walks of life, and probes into how the government, finance, operators and so on can realize the transformation and industrial innovation through the management and operation of data assets.

The conference held a "National research-Asia-Credit Strategic cooperation" Conference, the large data and national research culture Media announced the establishment of a large-scale data based industry development and forecast index platform and other cooperation. In addition, the large data "data asset cloud" and "Data Asset Management integrated Machine" also appeared on the scene for the first time. Zhou Changyu product director of the scene for you to introduce the details of data asset Management integrated machine this product.

The following is the full text of Zhou Changyu's speech:

Zhou Changyu: Hello everyone, never think of the opportunity to travel to Mars. I will give you a brief introduction of our large data application of the letter one of the first products, data asset management. Our research and development of the sub-trust machine, we believe that the development of large data application machine software and hardware mutual optimization to achieve deep integration of hardware and software, we have a large data application we choose to match it with the hardware to optimize, and we choose hardware more advanced hardware architecture to do our hardware platform, At the same time, we according to the hardware platform performance and characteristics, and then the majority of platform software to do optimization, such two aspects of the application optimization and hardware choice of two aspects, this is our large data application of the letter with a lot of good features.

The first is its professionalism, each of our application may be large data application integrated machine. The other is its performance is very high, in addition to its deployment is very easy. We are in the company, in the laboratory in all the software integrated together, when delivery time in days to deliver a very good large data applications, and our large data application scalability is also better.

Let's now introduce our data asset Management All-in-one today, its stand-alone performance is quite high, our machine here may have more than 1000 data core, including in memory, including in the hard disk, we have very high performance, and then we compared with the traditional one, according to the CPU calculation, There are 10 traditional computing spaces. What are the components of our data asset Management unit?

We're surrounding the data-asset cloud, and we've divided it into five modules, first of all, data processing, data processing is a large data application of a foundation, according to Asiainfo's own large data platform software, hardware, providing ultra-high performance of the large data acquisition, analysis and processing capabilities, the chaotic large-scale processing into value data.

The second module is our data security, data security is in our large data is a very important part of the process, we used the data processing methods to ensure that the value of the data safely stored in our machine, to create a similar to the data value of the vault. Data storage. Is that we encrypt the data, in accordance with the actual requirements of the data to carry out tiered storage, the implementation of higher requirements for our use of IO higher storage methods, and then, if the 1th use of compression methods, effectively reduce space, to achieve the highest cost-effective. This is the core part of our application integration, that is, data management, that is, DICP this part. DICP just after our three-part operation, we have a large data acquisition, processing, encryption, storage, this data is any other thing, software, or a third party can not get out, it must through our DICP, it is the only way to open our data vault of the key, under the strong system support, Ability to build data applications quickly and multidimensional. Provides a safe, reliable, and efficient value for this data asset management.

The last point is our resource management. Is our large data application system, or is that our product is a data asset management system its hardware platform to use cloud computing thinking to its hardware to do reasonable elasticity, can be based on the resource consumption between our various directors dynamically adjust its resource allocation, to ensure that one machine application in the best state, is our data asset management system five modules.

And then our data asset management All-in-one is actually a single scalable cluster that can be expanded into two different ways, in both cases we have permissions, in the third data node does not contain asset management, the following is used for data security, data storage, we can expand to 10 units, to two plus 80 units, The 10,000-core CPU and upper p-level transmission space can work together to achieve an optimal performance status.

Finally, thank you for your attention to our one machine, and look forward to our letter large data application machine, especially data asset Management machine, thank you.

(Responsible editor: Mengyishan)