Hu Shizhong: Gather expert power to win big data

Source: Internet
Author: User
Keywords Large data face solution implementation

December 4, IBM in Beijing held the theme of "Cohesion experts, wisdom to win big data" of the IBM Puredata release ceremony, officially published in the Chinese market for large data processing expert integrated system--puredata. As the newest member of the IBM Puresystems family, Puredata inherits and develops IBM's industry-leading expertise and overall data capabilities, aiming to leverage new expert integration technologies to help industry enterprises efficiently cope with and harness the surging volumes of data and gain critical insights to achieve enterprise markets, Sales and other departments of the rapid progress of business objectives.

IBM onsite release IBM Puredata

"Big data has become the most serious challenge and the most valuable resource for the new computing age," said Mr. Hu Shizhong, IBM Global vice president and general manager of software group Greater China. As the industry's most comprehensive provider of large data solutions, IBM has injected its leading platform for large data and extensive industry practices into the Puresystems expert integration System to launch a new ' Large data expert ' puredata, this is not only the IBM Deployment expert Integration System overall strategy is a vital step, but also is IBM Big data overall strategic upgrade important milestone. ”

IBM Global Vice president and general manager of IBM Software group Greater China, Mr. Hu Shizhong

Striding into the new computing age

In the new computing era, enterprises need to achieve higher targets of large data, cloud computing and security. IBM Puresystems leverages the new IT paradigm to help companies cope with the challenges of the Times.

In large data, cloud computing, global trends such as mobility, social networking, and so on, we are entering a new era of cognitive systems-data-centric, statistical analysis, inward scaling, automated systems and workload management as the salient features of this new computing age-which also means that under new IT challenges and opportunities, More and more enterprises will embark on the transition of it mode, seek value breakthrough while realizing the IT economy, utilize intelligent computing to deliver the IT infrastructure of the future (Tomorrow Ready), build the higher target of large data, cloud computing and security-"three-ready":

 Cloud Ready (Cloud Ready): In the form of cloud management IT, thereby increasing efficiency, speed up the product market;

 Data Ready: Release data value, deliver more reliable insight;

• Secure Readiness (Security Ready): Ensure the security of critical information to meet regulatory requirements, mitigate risk, and protect customers.

However, according to IDC, the primary challenge facing global companies today is that more than 70% of the IT budget needs to be spent on low-value it operation, with only a handful of budgets for innovation. IBM Data Center report shows that nearly two-thirds of enterprise IT projects are out of budget and are behind schedule to complete deployment; only one-fifth of the enterprise IT departments are able to devote most of their IT budgets to innovation.

To lead the industry into a new computing era, simplifying it, saving costs, and achieving security in a new paradigm, IBM launched a new system of Puresyetems for the first out-of-the-way expert capability worldwide in April 2012. As a major step forward in the new computing era, Puresystems is the major achievement of IBM's research and acquisitions over the past four years, through the development of expert capabilities, the design of integration and the simplification of three key features, revealing three major advances in the new era of computing technology, That helps businesses cut high costs, reduce it complexity, and correlate with information management technology.

Simplified, efficient and flexible: Puredata for large data

As the pure family "big data expert", puredata the expert model and the leading technology to help the enterprise in the data processing speed, the simplification degree and the cost control and so on aspect, further expands the big data value.

It is estimated that the data generated over the past two years accounted for 90% of the current global data, and new data are growing at a high rate of 2.5EB a day. Industry companies are facing the same dilemma-how to use simpler, more economical ways to analyze business data, understand customer buying behavior, reduce customer churn, carry out marketing campaigns that require a lot of data support, and discover fraud in real time? For these enterprise IT departments, business requirements will directly contribute to the surge in workload optimization, rapid data loading, integrated management, single point support, and efficient automated operations.

It is under such demand, IBM Puresyestems family Big Data "expert" Puredata came into being. Unlike other data systems, Puredata is able to reduce system installation and configuration times from days to hours, reducing the length of complex analysis operations from hours to minutes and enabling more than 100 databases to be managed on a single system. With Puredata, organizations can deliver high-performance data services to business users in traditional it or cloud environments, and deploy Web applications in less than 10 days-the same task takes at least 6 months to complete. Among them, the Puredata system for Analytics can provide 10 times times more than the traditional data system, and even a hundredfold speed, as well as the previous generation of Netezza technology 20 times times the query-oriented concurrency and throughput capabilities.

"As the newest member of the IBM Puresystems expert Integration System, Puredata is an expert Integrated system product series released by IBM in the field of data processing," said Dr Wang, IBM Global vice president and general Manager of China Development Center. Puredata's research and Development leverages IBM's extensive experience in reducing it costs and system simplification over the decades, helping companies in the new computing era to move up the pace of data processing, simplification and cost control, thereby contributing to a qualitative leap in their large data capabilities. ”

IBM Global Vice president and general manager of IBM China Development Center, Dr. Wang

Theory + platform + Practice: IBM demonstrates overall large data capabilities

IBM has the most comprehensive data strength, including "comprehensive Strategic theory", "comprehensive solutions" and "comprehensive landing practices" to help companies control large data and achieve business needs.

IBM believes that "large data" has become an important feature of the Times, enterprises need to rethink the existing IT model, to respond to the number and type of constantly new data, while large data will drive enterprises based on the information revolution Business transformation, more business value and development opportunities will come from data and insights.

Full integration of the wisdom of analytical insight methodology, large data platform solutions and a wide range of deep industry-wide landing practices, IBM is helping the financial, telecommunications, manufacturing, medical, retail and other industries to tailor large data strategy, the use of optimized solutions to effectively deal with large-scale, diversified, high-speed flow of enterprise data, Ensure the authenticity of the data, through the analysis of these data to enable enterprises to obtain sufficient information to help enterprises gain insight into the business, to formulate corresponding strategies to achieve rapid business breakthroughs and growth.

As the industry's most comprehensive platform for large data solutions, IBM's "Large Data Platform" architecture provides comprehensive technical support for building large data solutions for enterprises in various industries. This platform breaks through the traditional data warehouse and data management concept, which covers the Hadoop system, stream computing, Data Warehouse, industry accelerator and the most comprehensive business analysis tool from large data governance to core processing. IBM's large data platform provides business organizations with the ability to analyze information flows and Internet-wide sources in real time, achieving more cost-effective, large data management, and laying a solid foundation for business analysis on this.

Puredata Partners to expand the ecological environment

Puresystems is landing in all sectors, providing more opportunities for partners to upgrade their ecosystems in a comprehensive way.

To help industry customers quickly achieve large data value, IBM will develop product development and ecosystem construction work in parallel. Along with Puredata to the market, there are IBM based on Puresystems marketing of the accumulated partner program. More than 60 ISVs (independent software vendors) have now expressed their full support for Puredata. Previously, several partners, including Dynafront Systems and PCCW PCCW Solutions, had installed puresystems within their data centers. IBM will provide these partners with technical and certification support for Puresystems and Puredata.

"Up to now, more than 700 partners have expressed support for Puresystems and have launched more than 200 solutions and applications that are suitable for puresystems operations," said Mr. Hu Shizhong, IBM Global vice president and general manager of the software group Greater China. Puredata will provide a new platform for this open collaboration model and motivate more partners to develop solutions for Puredata. This openness to partners is an important differentiator between IBM expert integration systems and competing products. In addition, on the basis of these solutions and applications, IBM will also launch several new models to simplify the configuration and management of hardware and software resources in a comprehensive way. These patterns, which cover social services, asset management, and business process management, will provide support for more than 20 industry applications. ”

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