What does the Puredata large data expert system bring to IBM?

December 4, 2012, IBM released the latest Puredata large data expert system. To this end, Puresystems core product family has formed Pureflex, Pureapplication, puredata three major members. As the current industry's hot copy of large data applications, puredata as a new system for large data, for IBM what exactly?

4 hours to get the system Big data platform growing on demand

According to IBM experts, Puredata optimized data services include: factory integration and optimization, and the use of cluster architecture database technology DB2 Purescale free to add computing nodes, on demand growth. From the system in place to the ability to load data, it takes only 4 hours. From low to high distribution, does not affect the business system in case of direct upgrade.

In addition, the Puredata system for analytics can provide speeds that go beyond the traditional data systems 10 times times or even a hundredfold, as well as query-oriented concurrency and throughput 20 times times the previous generation of Netezza technology.

In particular, it uses the IBM Storwize V7000 Storage System, mixed with HDD and SSD hard drives, and thermal data on SSD. "While fully improving storage efficiency, IBM also takes into account the length of time that SSD drives are used in the device, and the strategy for backing up their risk data." IBM China Research and Development Center DB2 Development and customer support director of the author revealed.

Emphasizing relational databases Puredata expertise

If the puredata is for more DB2 relational databases, can puredata handle the existing proprietary databases that already have a relational type, such as the user who has the database stored?

"Puredata is not the only platform to deal with large data, nor can it be considered that a large processing platform is PUREDATA,IBM for a strategy in which large data processing is a group army, Puredata is really focused on relational databases, and for users of non relational databases, IBM will also offer corresponding solutions. "said Zhu, general manager of information management software at IBM China Research and Development Center.

For example, for the retail industry, consumer behavior analysis such as emotion, hobby analysis is a relational database, then for the field of large data processing, also very valuable. IBM also attaches great importance to unstructured data processing issues, Puredata emphasizes the processing of structured data, and is the preferred system for current users to process structured data, whether from 1/4 configurations (96 cores) or to 1/2 configurations (192 cores) and full distribution (384 cores), Users only need to purchase the Sgt 1/4 configuration of Puredata, if you want to upgrade to full match, only need to replace the insert new hardware, because the cluster architecture database technology DB2 Purescale can increase computing nodes freely, user-friendly growth system.

The application scenario is suitable for the user data integration, the key business system with high availability requirements, the application of rapid expansion, the need to reduce the management cost.

Improve ISV ecosystem mining large data business value

Puredata emphasizes the transaction system, analysis system and Operation analysis system for the user's large data. IBM executives agree that Puredata is the industry's most optimized OLTP expert integration System, out-of-the-box, designed to optimize performance on-demand scaling for transactional transactions to meet the needs of users at all levels. To this end, its open ISV ecosystem is expanding, such as Ufida, Kingdee, SAP and so has become a member.

Not only that, IBM software group Greater China Puresystems general manager Zhou Zhen also believes that ISVs are the 2013 IBM development Focus, Puredata will be better with the application of ISVs.

In my opinion, the introduction of Puredata, why does IBM emphasize working with ISVs? A simple analysis of the reasons, one is that the Puresystems camp's products are currently run by the IBM Software group, so it is impossible to talk about ISV collaboration Third, puredata itself has three advantages of superior performance, application integration, simple deployment, hoping to have more ISVs to collaborate, at the top of IBM's view, "really hope that pure can become an enterprise-wide domain app." ”

IBM works with ISVs on large data customer cases to provide solutions, "where does the value of large data arise?" "is a problem that all businesses are looking for, and IBM needs to fuel it and provide basic technical support." To this end, the birth of Puredata increased the likelihood of the commercial value of the user's large data utilization.

In addition, IBM China Research and Development Center information management software general manager Zhu said that the current customer expectations of that part of the value is very important service issues, for the provision of services to partners, not just to survive, but hope that they survive better, enhance the value of higher services. IBM hopes that customers will have to look at the data and the business value of the data, which is what the Puresystems family has to do in the future.

(Responsible editor: The good of the Legacy)