Intel and SAP build large data analysis platform to dig data value

To help enterprise users improve the efficiency of massive data analysis, accelerate access to real-time business insights, which in turn enhance competitive advantage in the industry, Intel Corporation, a leading global computing power innovator, has held a theme for "data-core processing, high-efficiency and winning-win" today in Beijing. 2014 Intel Data Center Media Communications. The two sides in the interpretation of the large data market, applications and other aspects of the latest insights, as well as cooperation and innovation strategy, but also focused on the two sides carefully built, based on the Intel hardware platform of the large data real-time analysis platform, and demonstrated the effectiveness of the solution.

Large data real-time analysis, Intel and SAP in this communication will be a highly focused theme, but also the current large data applications in the field of many users and manufacturers to focus on the topic-the past few years, the vast number of complex structural data storage, cleaning, processing, Queries and basic analytics are implemented on open architecture open source platforms, deep mining of these data values, especially real-time analysis and mining, is an urgent requirement for enterprise users who are eager to use new technologies and programs to speed up the rapid analysis of large data and more accurate analysis, To assist and support more efficient business decisions.

In order to meet the urgent demand of enterprise users for real-time analysis, Intel and SAP combine each other's advantages in computing power and data analysis, and jointly build large data real-time analysis platform. The cornerstone of the platform is high performance and energy efficiency, and provide computing, storage and I/O equalization Advantages of the Intel architecture Open hardware platform, the deployment of SAP strong, memory based database and business intelligence technology, with unprecedented performance and data analysis speed, to help enterprise users to dig real-time insight, Make smarter business decisions faster, or create new business models and processes to capture new opportunities and further reduce business operating costs.

Song Yiping, pre-sales Director, database and technology platform, SAP Corporation

"As a provider of enterprise management software solutions, we have been listening to the needs and difficulties of enterprise users in the application of large data, and continuously optimize and improve their products and technologies, so as to meet the increasing demand of enterprise users in computing performance and real-time analysis of large data. Song Yiping, former pre-sales director of the database and technology platform of SAP Corporation, said: "It's an honor. In this process, we are able to work with Intel Corporation, Intel continues to our innovative computing, storage, network platform, and for our software products on its overall optimization, as well as the relevant solution validation provides strong support. ”

Intel (China) Limited data center and cloud computing business product Marketing Director He Xiaodong

"It is nice to see that Intel's collaboration with SAP extends from the traditional data analysis era to the era of large data analysis, which is complementary and powerful," said He Xiaodong, director of the Intel (China) Limited data center and cloud computing business product market. The large data real-time analysis platform built on the Intel Architecture hardware platform and SAP's leading memory calculation and analysis technology is the crystallization of this collaborative innovation condensation. We are also looking forward to working with more partners and users to develop more extensive collaboration around open architecture large data solutions to produce more diverse, differentiated innovations that ensure that every industry and field can benefit from the big data age. ”

In addition, Intel and SAP will continue to work on the development and expansion of large data solutions and contribute key data innovation technologies to large data partners within the Hadoop open source community and the corresponding biosphere, driving the development of large data technology landing and data analysis areas.