On the real situation of large data

Big data is hot now, enterprises, individuals are talking about big data have their own different views and views, but the author through the day-to-day chat with friends, found that many friends still have some misconceptions about large data, such as many people will think Big data is a latest technology, Some friends think that there are more data to serve only one person and so on, these questions we will discuss with you in this issue.

Big data is not a new technology

Large data has now been integrated into our lives, people in the day-to-day work of the office will be exposed to large data, these large numbers are always in different forms, as well as the large number of existence and use, which also led to many friends think Big data is today a new technology, but it is not, I think, Large data can be considered a new term or technical vocabulary, but the conceptual and technical aspects of massive data analysis for large data are not up-to-date.

Once there are big data and cloud computing well-known enterprises Teradata Company's chief technology officer has said in the industry, large data is a long-term project, not in the short term can reach a very high altitude, and for users, this is also a lot of people easy to enter the misunderstanding. For the data analysis of large data and other technical aspects, in fact, many years ago, there are already enterprises in doing, now the so-called Big Data has developed into a cloud of a large number of data analysis and storage technology, what is new for the old in fact also difficult to define.

Large data is not a commodity

The author in the first contact with large data has been such a misunderstanding, that large data like our usual procurement servers, switches, manufacturers out of the list price, and then is to negotiate with customers discount issues, followed by the installation and commissioning of products, in other words, In the initial exposure to large data many people will think that large data is a special form of data and independent existence of the data format, can be purchased as a server, in fact, is not the reality.

Donaldfeinberg, an outstanding analyst at Gartner, has said that users can spend money on 100 servers, but can you make sure you get big data? Obviously, the big data is not a market, we can't look at it as hardware, the big data is just an important part of IT industry technology, we now many new concepts and technologies are based on large data, such as cloud computing and virtualization technology.

So, we can not think of large data as a commodity or the standard of hardware to measure it, it is not a market, it is not even a commodity, and is not new, this is the current IT industry experts general view.

Big data is not a drag, it's not personal.

This topic now seems to have become the IT industry a well-known popular debate, a lot of users believe that the large data of the original mode of operation is based on the most basic technical form, now the big data to the sky, will be a trouble, in fact, I think this view some extreme, The big data itself still has great potential, the key is how to use the right enterprise users, according to the survey shows that there are still many enterprises have not used or contact with large data, this is very scary.

The future is an era of data volume outbreaks, and the daily amount of new data will increase exponentially, as long as the data exists and can be dealt with in an effective way in the future, there should be opportunities. is also an expensive opportunity, the data problem is how to transform it into clear and practical content through analysis, this is a huge challenge to the enterprise.

In addition, according to Gartner, 30% of companies will find a way to set up the data they hold in the next few years. Selling user data to the highest bidder can cause worry and panic, but there are ten guarantees or threats. This also answers many user's question, now many data is stored in the cloud, the user is also quite concerned about the security of the big data.

The storage of large data in the future will not be simple for one or a certain type of user, it will be a whole mode of operation in front of the user, everyone's data constitute the current mass of data, then of course, data security issues, and data services are not only for a certain type of users.

Users are concerned about data security

When we usually watch TV or surf the Internet, the broadcast of the ads is sometimes annoying, especially the kind that repeats over and over again, but in a marketing model based on large data, this kind of advertising is essential, Large data analysis enables many businesses to better understand and analyze customer purchase intent and requirements analysis.

Imagine, when you enter a store, the phone begins to vibrate, receiving discounted promotions from many stores, and even competitive price information for some competitors ' stores, so that users may think about it when they choose, and you'll think about the service provider you're signing up for.

Large data mining and analysis can help businesses understand users more clearly, but from a user's point of view, some of the user's personal information, even privacy information may be exposed to others, which London's wifismartbin is a typical example, it keeps track of people's smartphone MAC address, In advertising bellows display targeted ads.

In this way, the protection of user data in today's big data explosion era is the need for relevant departments of supervision and control, only in this way we can really enjoy large data to our convenience, users will not have to worry about their own information has been published or even leaked.

Large data is not used so widely

Gartner statistics show that skilled data analysis scientists are so scarce that there are more than 75% large data analysis vacancies in the company. The competition is brutal, in other words, it's a great job. That said, it also depends on how you define a data analysis scientist. Duncanapthorp, a big data analyst at Tesco, says his company does not require prestigious institutions, which means that ordinary graduates also have a chance.

Big Data has developed to this stage, there's still a lot of room for growth, and there are still many businesses and users who don't really dabble in big data areas, and when you have a business goal, and the data warehouse is filled with 0 and 1, you can analyze your data. But research has shown that most companies are already using large data to get information, and once they think of a problem, they try to solve the problem with big data analysis.

So we say, treat large data, we can not rigidly adhere to the form, more unlikely to follow, for enterprise users, real understanding of their own needs, so that large data have a real, more intuitive understanding and understanding, only such large data can really help us.

Enterprises should really know the big data

According to Gartner's study of hundreds of companies: "In 2016, Fortune 500 85% companies will not be able to use big data to gain a competitive advantage." "This authoritative survey data show that there are still a lot of companies, it can be said that the vast majority of companies do not really understand the big data," Teradata Senior vice President Tassoargyros said: "Traditional business intelligence is from a clearly defined problem start, for large data discovery, you have a starting point, But it's not a business problem, it's a business goal. The problem is that you don't know what to ask or what data to use, just say ' look at the data, let's get started, it's usually easy to fail.

Large data is a whole, it is today's cloud computing, virtualization and so on new technologies, large data analysis, large data mining can help us understand the data more intrinsic content, technical level, many enterprises now have their own data center, The establishment of the data center is to help enterprise users from the hardware level to protect large data a series of applications smooth, therefore, the success of large data driven by the entire IT sector and the IT market prosperity, hardware as the support of large data in the future of network security, cloud computing, storage and other areas will play a huge role.