Glass Door Handle is a
general type of door handle largely applied for Glass Door, Shower Room. JIANGYI has specialized in door hinges since 2000, our
glass door handle is in high quality. Different size and style are available. Also,
we can produce it according to your new style.
Specification
1. Material: SUS304, SUS316
2. Inner head material: Brass or Stain
Stainless Steel
3. Finish: PSS/SSS/Ti
4. Application: Wooden door, Glass
door, Aluminum alloy door
5. Suitable for glass thickness: 8-12mm
Door Handle Door Handle,Internal Door Handles,Interior Door Handles,Glass Door Knobs Jiangyi Industrial Co., Ltd , https://www.cnjyhardware.com
Big data is not a new technology
Big data is now integrated into our lives. People are exposed to big data in their daily work. These large amounts of data will always exist and be used in different forms and in large numbers. This has led many friends to think that big data is Today's latest technology is actually not the case. The author believes that big data can be considered as a new term or technical vocabulary. However, the concept and technical level of mass data analysis for big data is actually not the latest.
Once there was big data and the chief technology officer of Teradata, a well-known enterprise in cloud computing, once said in the industry that big data is a long-term project, not to be able to reach a high level in the short term, and for users, This is also a misunderstanding that many people easily enter. For big data data analysis and other technical aspects, many companies have actually been doing it many years ago. Now that big data has become a kind of massive data analysis and storage technology in the cloud, what is new and old is actually also Not well defined.
Big data is not a commodity
The author first encountered this misunderstanding when he first contacted big data, thinking that big data is like our usual procurement server and switch. The manufacturer has to issue a list price, and then it is to discuss the discount issue with the customer, followed by the installation and debugging of the product. In other words, many people think of big data as being a data format that exists in a special form of data when it comes into contact with big data. It can be purchased like a server, and its implementation is not.
Gartner Distinguished Analyst Donald Feinberg once said that users can afford to buy 100 servers, but can you be sure to buy big data? Obviously, big data is not a market. We cannot look at it from the perspective of hardware. Big data is actually an important part of IT industry technology. Many of our latest concepts and technologies are based on the foundation of big data. Above, such as cloud computing and virtualization technologies.
So, we can't see big data as a commodity or measure it with hardware standards. It's not a market, it's not even a commodity, and it's not new. This is also the general view of current IT industry experts.
Big data is not a burden, not only for individuals
This topic now seems to have become a well-known hot topic in the IT industry. Many users believe that the original operating mode of big data is based on the most basic form of technology. Now it will be a big problem to take big data. In fact, I believe that this view has some extremes. Big data itself still has enormous potential. The key lies in how well corporate users use it. According to surveys, many companies still have not used or touched big data. This is very important. Terrible.
The future is an era of data volume explosion. Daily new data volume will increase exponentially. As long as the data exists and can be handled in an effective way in the future, there should be an opportunity to exist. It is also an expensive opportunity. How the data problem is transformed into clear and practical content through analysis is a huge challenge for the enterprise.
In addition, according to Gartner's statistics, 30% of companies will find a way to cash out their data in the coming years. Selling user data to the highest bidder raises concerns and panic, but in almost all cases it will be guaranteed or threatened. This also answers the questions of many users. Now many data are stored in the cloud. Users are also very concerned about the security of big data.
In the future, the storage of big data will not be simple for a certain type of user or a certain type of user. It will be presented to the user as a whole mode of operation. Each person's data constitutes a vast amount of data, and of course data security. Problems, as well as data services, are not just for a certain type of user.
Users are concerned about data security
For us usually watching TV or surfing the Internet, there are sometimes boredoms in the advertisement of advertisements, especially those advertisements that are repeatedly played over and over again, but in the marketing mode based on big data, this kind of advertisement is planted. Entry is essential, and big data analytics will allow many businesses to more clearly understand and analyze customer purchase intentions and needs analysis.
Imagine that when you enter a store, the phone starts to vibrate and receives a lot of discounted promotional information inside the store, even price competition information of some rival stores, so that the user may have Considered, this time you will think of the contracted service providers.
Big data mining and analysis can help businesses understand users more clearly, but from the perspective of users, some personal information of users, even private information, may be exposed in the eyes of others. London WiFi Smartbin is a typical example and it keeps Track people's smartphone MAC address and display targeted advertisements in the advertising bellows.
In this way, the protection of user data needs to be supervised and controlled by relevant departments in the current era of big data explosion. Only in this way can we truly enjoy the convenience brought to us by big data, and users will no longer have to worry about their information being compromised. The announcement was even leaked. >>
Big data is not used as widely
Gartner statistics show that skilled data analysis scientists are so lacking that the company has more than 75% of big data analytics job openings. The competition is fierce. In other words, this is a great career. Having said that, it also depends on how you define a data analysis scientist. Tesco's Duncan Apthorp, a big data analyst, said that his company does not require name-brand institutions, which means that regular graduates also have a good chance.
There is still a lot of room for growth in the big data development stage. There are still many companies and users who are not really involved in the big data area. After you have a business goal and the data warehouse is filled with 0 and 1, You can analyze your data. However, studies have shown that most companies have begun to use big data to obtain information. Once they think of a problem, they try to solve the problem through big data analysis.
So we said that we can't stick to the form of the big data, and it's even more impossible to follow the trend. For business users, we really understand our own needs so that we can have a true and more intuitive understanding and understanding of big data. This way big data can really help us.
Enterprises need to really understand big data
According to Gartner's study of hundreds of corporate cases: "In 2016, 85% of Fortune 500 companies will not be able to use big data to gain a competitive advantage." This authoritative survey data is sufficient to show that there are still many companies, and it can be said that the vast majority The enterprise has not really understood big data yet, TassoArgyros, Teradata's senior vice president, said: Traditional business intelligence begins with a well-defined problem, you have a starting point for big data discovery, but it is not a business problem, it is a business goal. . The problem is that you don’t know what questions to ask or what data to use, just say “Look at this data and let's get started, which is usually very easy to fail.
Big data is a whole. It is the hotbed of new technologies such as cloud computing and virtualization. Big data analysis and big data mining can help us understand the more intrinsic content of data. From a technical point of view, many companies now belong to it. The establishment of its own data center and data center is to help enterprise users ensure the smooth implementation of a series of applications of big data from the hardware level. Therefore, the success of big data drives the prosperity of the entire IT field and IT market, and the hardware as a support Data will play a huge role in the future of cyber security, cloud computing, and storage.
Big data is very hot now. Enterprises and individuals are talking about it. Everyone has their own different views and opinions on big data. However, the author chats with friends through daily life and finds that many friends still have some conceptual misunderstandings about big data, such as Many people think that big data is the latest technology, and some friends think that there are more data to serve only one person. We will discuss these issues with you in this issue.