Microsoft launches big Data vision drives data analysis to civilian

As other manufacturers have focused more on "How to use big data for industrial transformation and corporate Innovation", Microsoft has begun to show how to use the right technology and tools so that everyone in the general public can intuitively gain insights from big data.


October 18, Microsoft Global Senior Vice President, He Lebin, chairman and chief executive of Greater China, told reporters on "Big data media day" that "unlike the way other companies handle big data, Microsoft advocates thinking about the use of large data in three ways, from discovering data, analyzing data, and visualizing data." Microsoft's Big Data vision is that it wants to be based on standardised products that enable everyone to use data anytime, anywhere, and make better decisions. ”


large data is not only for the IT industry, but also for the Enterprise Analysis Team or Finance department. Anyone who needs to make decisions about business or everyday life should be able to get data, and tools to help him make the data meaningful, and then based on that data, making better decisions, without the need for someone else to prepare the data specifically for him.


Microsoft's technical experts also demonstrated in recent years Microsoft's research in the "Urban Computing" project progress, these projects through large data technology to effectively solve urban traffic congestion, urban energy and disaster prevention and relief problems. Among them, the most closely related to ordinary people, is through the analysis of urban road traffic real-time situation, taxi history, taxi live records and will pass by taxi, the construction of the taxi recommendation system, the best route recommendation system and large-scale real-time dynamic intelligent carpool system.


How to think Big data


said big data, it is easy to create a misunderstanding is that large data must be a very large dataset or data volume. But what the big data actually shows is the concept of the three dimensions of quantity, speed and diversity. Microsoft believes that the core concept of large data is not equal to the magnitude of the data. Large data can handle large data, can handle small data, can handle data of relational types, and can handle data of a non relational type. And the most important point is how to derive very precise value from the data.


"These realizations change the way Microsoft gets data and thinks about data. "In other words, there are more advanced tools and techniques that can help people improve the economics of getting big data, really improve the big data discovery, improve the ability of large data analysis, improve the environment and improve the way companies operate."


He Lebin, Microsoft has three very simple ways to analyze data based on some of the tools in Excel. For example, with power Pivot, you can get data from any system, and it can be integrated in a very simple way, whether it's a SAP system or a user's own system data. At the same time, the power pivot enables data to be made into meaningful data. In addition, through Powermap and Powerview, it is possible to present the results of mining and analysis in an intuitive way, especially in geographical locations, so that data can speak to you. Thus, the mysterious veil of large data is uncovered.


How to harness large data


from which aspects to master the Big data? Hele said: "Microsoft's Big Data concept, is through the advanced algorithm to help users more efficient mining useful data, through intelligent, or even based on the cloud platform and services to manage and analyze data, from which to obtain valuable insights, and then the user most familiar with The most intuitive form is shown to help users make decisions. ”


specifically, Microsoft's Big Data solution includes three broad layers: the first is big control, the modern management that supports all data types.


Microsoft Data management platform 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.

The second level of
is the great wisdom sink, which searches for and combines the world's data to make advanced analysis and refinement to improve the enrichment of data value.


By combining data and models with Open Data Services, Microsoft's large data solutions enable 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.

The third dimension of
is insight: through familiar tools such as Microsoft Office, providing intuitive insights to all users.


Microsoft's Big Data solution is dedicated to everyone, and it enables customers to gain valuable insights from the Hadoop functionality through an Excel interface that is well known to be generated 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.


How to make data analysis civilian


for the whole large data development trend and application prospects, Microsoft Greater China Vice President and Marketing strategy Department general manager, Microsoft Greater China Chief Cloud computing strategy officer Shenwey summed up in simple and simple.

There are three
in his eyes. The first is the growth of data is very fast, the second is the number of data types are emerging, the third is from the hardware, storage and so on, the price of data storage devices continue to adjust, which allows the entire data storage or data analysis will become more grounded gas, more can let the public use up.


Based on these judgments and grasp of the future of the market, Microsoft now hopes to do one thing, to reduce the threshold of data analysis, through the most simple, the most popular series of tools, through the existing cloud platform or infrastructure services, to bring large data to everyone's side.

Shenwey a Windows 8 application called City Next, simulating a "mayor", and how to see the daily running index of a town on the desktop very simply, such as power supply, city profile, travel status, etc.
When the mayor checks energy management, he can not only analyze how to save energy in municipal construction, but also look at specific cases abroad and learn how other cities plan energy. For example, he could compare the energy management of the city of Dallas with the state of my municipal construction. From some very visual ability, government agencies, or some policymakers in the government, can really understand how a city like Dallas to plan power stations and how to update the housing age, thereby reducing energy consumption. All of these analyses and insights can be seen based on a series of charts provided by Excel tables and Powermap.
It is reported that in industrial manufacturing, financial insurance, health care, public services, transportation and other industries, Microsoft can also provide from the front-end data collection to the back-end of the insight presented, the whole process of customer service growth services, create value.
Shenwey concludes that the customer's real needs are the starting point and destination of Microsoft's big Data solution. The key to Microsoft's solution is to provide the most easy-to-use, civilian, large data tools, and integrate the technical advantages of data processing, cloud computing, and Office BI software, as well as the understanding of user habits, translating these data into valuable information that can visually reflect trend insights and help users decide.