Microsoft's ability to enter large data areas to simplify is worth looking forward to

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall

The recent Open-source database company MongoDB's vice President Matt Asay published an article analyzing Microsoft's access to large data areas, the possible development and advantages, Asay that Microsoft has a simple tool to develop the historical tradition, so the development in the large data area is still expected. Matt Asay is a well-known Open-source software expert, with over 10 years of experience, before joining MongoDB, he was vice President of social platform nodeable, and he has a strong technical strength and a Ph. D. in Stanford University, which is roughly as follows:

In fact, I was in the Linux open source world gradually grew up, for a long time I was disgusted with Microsoft, very simple because of its objections to open source software. But after 10 years of confrontation, I have found that Microsoft really has the ability to make complex technology simple enough for ordinary people to accept, and I really appreciate that ability.

So after Microsoft decided to enter the Big data field, I was actually very encouraged. Because a survey shows that there are still a lot of companies, still do not know how to deal with their data. So it is possible for Microsoft to use its capabilities to develop tools that are easy to use and allow large data to be truly acceptable.

In fact, Microsoft has a long history of data technology, such as well-known front-end data management tools Excel, as well as back-end Database SQL Server, as well as the user-oriented Bing search engine and Hotmail mailbox and so on. In addition, recently they and Hortonworks company to launch a Hadoop architecture. According to Microsoft CEO Satinka Yas Nadra, Microsoft is the ability to make big data easier to use. Nadra says that to turn data into intelligent information is an ambitious challenge that requires our technology to understand language content and to find useful information from noise. To build such a system platform to implement this intelligence, and to take these as the task of the entire company, he thought Microsoft deserved it.

Now, of course, Microsoft's plan is largely remote. It takes a long time to realize. But these are normal in the tech circle. For example, you remember Oracle's Fusion app, who remembers when they first announced the plan, and who remembers how long it took to develop it?

But anyway, at least his plan sounds cool, especially now that the big data industry is in a confusing situation, as the survey of Gartner, a leading research firm, has shown, the big data that people see as being really popular or facing a lot of challenges. To sum up, you can use the following diagram to show how to get meaningful information from the data, how to summarize the strategy from the information, how to get the appropriate skills and training, the underlying device and system architecture, and so on.

Can Microsoft do better than existing publishers and open source systems in the face of these problems?

The first thing you can think about is what Microsoft has done for system managers and developers in the past. On the one hand, Microsoft has developed a good tool to make network and server management much easier, with it tools, you do not have to be a UNIX master can let the work run; At the same time, Microsoft has created development tools for developers to make the average programmer a great person and to make a good programmer.

So if someone can make big data become popular and easy to use, it should be Microsoft.

And that's exactly what Microsoft wants to do. As Quentin Clark, vice president of the company, said, Microsoft wants to use three ways to bring big data to people around the world, first with a stable tool for everyone to work with every day, and easy access to a variety of data, plus a complete data platform. And in the idea of CEO Barnard, he hopes that one day, every employee of Microsoft will be able to easily have the ability to use data, and before this ability only a small number of data scientists can understand, then employees can understand the charm of natural language, data visualization performance, And all of this is done with simple tools like office.

Earlier this week, Nadra began to portray his big data plan. According to him, to build an infrastructure that uses Excel on the front end to set up SQL Server and Hadoop on the back end. Although the plan is not very clear, it is at least indicative of a future, by which time the big data will no longer be the prerogative of PhD doctors.

Microsoft's front-end back-end overall plan is still very much to be imagined, especially considering that Microsoft has a strong ability to develop simple tools, it is still very attractive, they always have the ability to bring complex technology to different engineers, so that everyone can enjoy the benefits of technological progress.

But the results are still waiting to be validated, but Microsoft seems to have the natural DNA to do it, which has evolved over the years.