Microsoft Hele: The mission of large data is to help users make decisions

October 18, 2013, Microsoft held "Big control, big wisdom sinks, big insight" as the theme of the Big Data Media Day event, Microsoft Global Senior vice president, Greater China Region Chairman and Chief Executive Officer Hele (Ralph Haupter) said: "Big data not only from data mining, The level of data analysis to solve the "big" problem, more important is how the results of mining and analysis directly presented to the user really need valuable insights. Microsoft Big Data mission, it is through the advanced algorithm to help users more efficient mining useful data, through the intelligent, or even based on the cloud platform and services to manage and analyze the data, to obtain valuable insight information, and then the most familiar, the most intuitive form of users to help users make decisions. Microsoft offers a full range of solutions to give real value to any data. ”

files, images, videos, blogs, streams, geospatial data, in the face of these unstructured data, as well as real-time data from social networking sites such as microblogs and Twitter, traditional data batching methods are difficult to effectively analyze and respond to. How do you effectively handle structured and unstructured data? How do I dig data from social media sites? How to combine internal and external data and services? How can decisions be made more timely based on captured data? The problem that bothers users is that Microsoft's Big Data solution is dedicated to solving it.

Releasing data power to discover business value

Before big Data became popular, Microsoft had started to apply and develop large data, such as Microsoft Bing's high-quality search results, by analyzing more than 100PB of data. The goal of Microsoft's Big Data solution is to enable all users to gain a viable insight from any data. To achieve this goal, Microsoft has developed a comprehensive strategy for large data solutions:

• Big control: Modern management that supports all data types

Microsoft Data management platform for large data solutions can seamlessly store and process all types of data, including structured, unstructured, and real-time data. Microsoft's Hdinsight is a business-friendly, HDP Hadoop service that brings simplicity and manageability of Windows to Hadoop, provides an extended platform for combining Hadoop, and provides a flexible and scalable cloud for large data. Users can choose Windows Server or Windows Azure platform to suit their needs.

• Great wisdom Sinks: Search and combine the world's data, for its advanced analysis and refining, so as to improve the data value of the enrichment layer

Microsoft's large data solution, by combining data and models with Open Data Services, enables breakthrough data discovery, such as automatic discovery and sharing of firewalls outside and third-party data sources. By using applications and intelligent mining algorithms in Windows Azure Marketplace, users can find more hidden information and data mining patterns. In addition, Microsoft's large data solutions can transform raw data into reliable and consistent data through enterprise information management tools, and refine the data through the advanced analytics capabilities of SQL Server Analysis Services (SSAS). Microsoft's large data solution supports commonly used third-party tools and frameworks such as Mahout, and can also support the writing of custom mining algorithms in C + +, C #, Python, Ruby, and Pearl.

• Great Insight: Provide intuitive insight to all users through familiar tools such as Microsoft Office

Microsoft's Big Data solution is dedicated to everyone, and it enables customers to gain valuable insights from the Hadoop functionality through a very familiar Excel interface created by hive add-in for Excel. It can also be generated through the familiar BI tools of the enterprise, such as SQL Server Analysis Services (SSAS), PowerPivot, and power generation through the hive Open Database connectivity (ODBC) drive View to analyze unstructured data in Hadoop. Through integration. NET and the new JavaScript Library, Microsoft simplifies programming in Hadoop. Developers can use the new JavaScript library in JavaScript to easily write MapReduce programs, and then deploy their JavaScript code through a simple browser.

Industry large data application insights into business potential

A survey of Microsoft in the global marketplace in February this year showed that more than 75% of China's large and medium enterprises will deploy large data solutions within a year, and that the key to the rapid application of the solution is the urgent need of customer relations, marketing and sales departments. In China, the reality of this demand is also urgent, in fact, in the business intelligence, public services, marketing, such as the largest number of large data application potential areas, the Microsoft Solution has been successful application and user recognition.

• Take root in public health care, accelerate disease response and diagnose decisions: Zhongshan Hospital affiliated to Fudan University in Shanghai with the help of Microsoft SQL Server 2012, the active use of large data to promote health care information on the new heights, hospitals and public health departments through the coverage of the region's residents health records and electronic medical records database, Rapid detection of infectious diseases, comprehensive epidemiological surveillance, and through the integration of disease monitoring and response procedures, rapid response. At the same time, thanks to the increasing ability to analyze the unstructured data such as X-ray and CT images, large data analysis technology makes the clinical decision support system more intelligent.

• Expressway Informatization, with large data to improve road management and travel experience: rapid production, different types of huge data is the great challenge of Highway management, Fujian Expressway Co., Ltd. using Microsoft Large data solutions, not only to video images, traffic flow, Traffic environment and other structural and unstructured data management, but also the data contained in the vehicle, car owners, toll stations and even geographical, geological hazards and other related information analysis. Based on large data, intelligent transportation will improve the management efficiency and service level of expressway Operation Company, make the mass travel smoother and even contribute to the maintenance of social public security.

• Large data combined with CRM to help Bank of China achieve customer precision Marketing: As one of the five state-owned commercial banks, Bank of China pays close attention to and attaches great importance to the business value that large data may bring. At present, the Bank of China has deployed a large number of SQL Server solutions in the front-end platform system database, which will be fully combined with BOC business requirements to achieve large data final landing. At the business level, with Microsoft's Global Unified Customer Manager Platform Project (CRM), BOC achieves accurate customer marketing analysis while effectively managing risk and performance.

"The real demand of customers is the starting point and destination of Microsoft's Big Data solution," said Shenwey, vice president and marketing strategy director of Microsoft Greater China. The key to Microsoft's solution is to integrate and leverage our technical advantages in data processing, cloud computing, and Office BI software, as well as our understanding of user habits, translating these data into valuable information that can visually reflect trend insights and help users decide. At home and abroad in the industrial manufacturing, financial insurance, health care, public services, transportation and other industries, Microsoft from the front-end data collection to the back-end of the insight presented, the whole process of customer service growth, to help more local users to create value. ”

The second edition of SQL Server 2014 preview, one of Microsoft's Big Data Solutions core products, is available for download. The new version delivers industry-leading memory technology that allows customers to achieve 10~30-times performance improvements without requiring additional pay, without rewriting the application or replacing new hardware. SQL Server 2014 also combines Windows Azure to provide customers with built-in cloud backup and disaster recovery backup capabilities.