Els large data integration: Attack Enterprise infrastructure dilemma

Today, IBM (NYSE:IBM) in Beijing convened the theme "Big Data crisis big integration attack" IBM ELS Big Data Strategy Media conference, elaborated Els in the big Data age new strategy, is designed to help enterprise users grasp the opportunity brought by large data, to deal with the pressure and challenge of large data to the infrastructure. The Enterprise-class Linux server based on host architecture (Enterprise Linux Server), with its advantages of high performance, flexible expansion, stable operation and heterogeneous environment, not only plays an irreplaceable advantage in the key business application field, At the same time, can help users to achieve large-scale data integration of heterogeneous environment, a full range of advantages to become the most comprehensive enterprise-class large data integration platform.




The advent of
data age has become the consensus of business leaders. The IDC report showed that global data volumes were up to 1.2ZB in 2011 and are growing at a rate of 40% a year. Big data can bring business opportunities for business has been widely recognized, especially under the current global economy under the downward pressure, a growing number of corporate CEOs want to use large data to help companies get new customers reduce business volatility, access to new products, services and regional markets and find new innovation to gain competitive advantage.





Big Data brings business opportunities, but also brings new challenges to enterprise it. Enterprise users need to take a holistic view of the IT infrastructure, intelligent analytics software, and the important starting point for ensuring the success of large data applications is to build an infrastructure that is suitable for large data consolidation. According to the test, ELS can consolidate 4 times times the UNIX platform workload, can consolidate up to 3000 x86 server, by virtue of performance, scalability, reliability, security, virtualization capabilities, green energy and other all-round advantages, IBM Els become suitable for large data integration ideal system platform. Especially for the general situation of the user multi-platform, Els can integrate different sources, structured and unstructured data across the platform, this unique advantage makes it become a sharp weapon for large data integration in large data age.





Data effective integration business turn "crisis" as "machine"





new requirements for the IT infrastructure for large data, faster response times, and more data from more types and sources of information. IBM Els, with "support for heterogeneous architectures" to reduce the constraints of large data consolidation, "flexible expansion" to meet the explosive growth of large data, relying on "efficient performance" to quickly process large amounts of data to "run stable" as the basis for timely delivery of critical information, fully meet the enterprise's IT infrastructure new requirements





The centralized integration of data is the first challenge for large numbers of users. With the data explosion of users in various industries and the variety of data types, how to integrate and manage large data is paid more attention. In terms of benefits, the practice of adding servers in the past with business growth has become a pain point in user applications. Enterprise users need to centrally consolidate more servers, more workloads, more applications, and more data by deploying a reasonable infrastructure. Els's superior advantage in large-scale data consolidation clears the way for users to consolidate large numbers of data.





Multi-Platform is a pervasive current user IT infrastructure, with key applications deployed on large hosts, UNIX platforms, and some non-critical applications such as Web applications deployed on UNIX, x86 platforms, integrating critical business data and non-critical business data as the basis for effective use of large data. For example, for banks, transaction data comes from key applications, and E-commerce data, call histories, and even social media data come from non-critical businesses, effectively analyzing the need to consolidate data from different architectures, using large data, which means a huge challenge to workloads and costs. IBM mainframe can manage the workloads on host, specific Power 7, and system x servers across platforms, flexibly managing heterogeneous platforms including Z/OS, AIX, Linux on System x, and Windows on System X. This greatly simplifies the data consolidation process and reduces the cost of consolidation. Els this unique ability to integrate disparate sources, structured and unstructured data provides a solid foundation for the analysis and utilization of large data.




Gartner, a
consultancy, shows that 87% of data analysis is constrained by performance. This means that the upgrading of business capabilities depends on performance as an important driver. According to IBM evaluation, ELS can consolidate 4 times times the UNIX platform workload, to maximize the processing capacity of the host, coupled with the incomparable reliability of the mainframe, stability and security, customer data, especially the core business data provide a stable guarantee.





IBM mainframe continues to improve and improve technology, providing a variety of horizontal, vertical expansion of the upgrade function for the customer's future business needs to respond to provide the necessary conditions. Els powerful asynchronous I/O operation mode and supports parallel I/O processing, which helps enterprises to deal with massive data and respond quickly.





ELS Enterprise-class Linux servers are tailored for high-volume and large databases with IBM System Z's full advantage, ELS virtualization features support for consolidation of up to 3000 servers.





New Zealand Bank consolidates 200 sun servers into a z10 server running a Red Hat Linux operating system, with room space reduced by 30% and total energy consumption down nearly 40%, an administrator can manage 200 virtual servers, and the entire deployment takes only a few minutes.





It is well known that IBM mainframe plays an irreplaceable role in the key business areas of the enterprise. 71% of the world's Fortune 500 companies are users of IBM's mainframe. IBM launched the ELS based on host architecture in 2009. Els once launched on the high growth-oriented enterprises have been favored, expanding the application of large-scale mainframe and application industries. With the excellent characteristics of Els, a city of intelligent traffic to achieve 1.2 million motor vehicle electronic cards, 40,000 vehicle real-time GPS positioning data, 2 million bus IC card data, 518 high-definition card mouth of large-scale, different types of data processing, high-performance performance support within 1 seconds to pull out within one months of the card picture ... Els is helping many users cope with big data challenges.





new channel strategy Channel + customer value Double Harvest





as of 2012, the mainframe installed capacity continued to maintain double-digit growth, the 2011 growth rate was more than 20%. In order to support customers in the new situation out of the predicament, IBM Els will fully adopt a new channel strategy: The new strategy not only for ISVs under the ELS platform to provide more powerful support, but also allows partners to directly sell Els products, this is a major IBM mainframe in the channel of a breakthrough.





IBM Els hopes to establish a smooth communication platform with partners, train more ELS professionals for host software development, and attract more ISVs and Si to join the host product development. Soon, IBM Els Partners in the planned period of validity of the sale of Els products will be able to enjoy 10,000 of dollars in the award.





In addition, customers have a broader choice of options, according to their own business development needs, flexibility to choose the right channel or ISV, in the enjoyment of all the advantages of the host, while enjoying the additional value of IBM partners, can be a winning decision.

IBM is a global manufacturer with large data capabilities, and IBM mainframe has gone through nearly 50 years, said Schdone, general manager of the mainframe products division of Greater China. The introduction of the new IBM ELS strategy is to hope that customers firm confidence, change thinking to view large data, the use of large data, so that it becomes a tool for business transformation and innovation. IBM Els wants to eliminate the concerns of business leaders and help companies move their limited resources to places where business innovation is true, paving the way for higher value growth with efficiency, stability, security, and green. ”

(Responsible editor: Lu Guang)