Overview of data center (the role and significance of data center)

Today I am Song Dan to answer the above questions. The general situation of the data center, the role and significance of the d

Overview of data center (the role and significance of data center)

Today I am Song Dan to answer the above questions. The general situation of the data center, the role and significance of the data center are believed to be unknown to many small partners. Now let's have a look!

1. Maybe every major IT news will mention "data center". It looks like a huge guy. IT giants such as Google and MS have invested in the construction of data centers. So what is a data center? Literally, non-IT people may think it is a computer center for data. In fact, this is only the surface. The construction of data centers is not exactly the same in different situations.

2. In data processing, it can be divided into two categories.

3. One is transaction processing, and the other is data query and analysis.

4, data processing or analysis, generally in the database processing, and data query is divided into two categories, one is database query, one is search technology.

5. With the interaction of various technologies, search technology and data analysis have more and more meaning of "cooperation".

6. Search technology is still in the stage of "fuzzy query", that is, searching for the desired information from hundreds of millions of Internet information in a fuzzy way. However, because it is a fuzzy query, most of the information is not what you want, so several giants are integrating data mining technology into search technology to shorten the time for customers to search for accurate information.

7. However, due to the "fuzzy characteristics" of search technology, it is not suitable for enterprise internal informatization for the time being, because enterprises need accurate information, and bosses don't have much time to rule them out one by one.

8. Therefore, the data center built within the enterprise is basically a data warehouse, serving for accurate query and analysis.

9. So what is a data warehouse? As mentioned above, enterprises/units invest in informatization and keep moving towards information systems, such as ERP, CRM, call center, OA or billing.

10, but after accessing these systems, a large amount of data will be generated, and the first demand of customers is queries and reports.

1 1, but many reports and queries need to cross systems. Complex queries and reports consume resources, which may affect the normal operation of each system.

12, so in the 1980s, people specially set up a database system to take the data of each system there for accurate query and report making, which is convenient and quick and will not affect the business system.

13, so from this perspective, the data warehouse is a collection of all data.

14. Later queries and reports can no longer meet people's needs. They want to know what valuable information is in these data and what useful help will be given to decision makers.

15, so people added OLAP and data mining to data warehouse applications in 1990s.

16, for better analysis, people will put forward more than n data marts from the data warehouse to serve the query and analysis according to business requirements, which will be more convenient, because different departments have different needs and business definitions may be different, so it is necessary to divide the information in the data warehouse into various data marts.

17. However, it should be noted that data warehouse is not necessarily related to OLAP, data mining, query and report. They are different logical things, but they interact closely.

18. As mentioned above, data mining has been combined with search technology to provide people with more convenient Internet search services.

19, and the function of data mining in data warehouse is to make better analysis. For example, the famous case of Wal-Mart diapers and beer is the result of data mining, and the probability of some connection between many potential crimes is found in the data, thus helping enterprises to make decisions.

20. So what is a data center? If it is aimed at a specific enterprise or unit, it is actually business system data storage technology+data warehouse. Of course, some units simply have data warehouses, such as scientific research units. They don't do business processing, but only do demand analysis.

2 1, but if it is an internet company, it is different from the data center of general enterprises and units. Because the information on the Internet is so huge, it is impossible to include all the information in the database and handle so much information, so one of the functions of their data center is to strengthen the processing speed and effect of Internet data; Another function is data warehouse, but their data warehouse will not contain all the Internet information, but the information that enterprises care about. Of course, the amount of data is also very large, generally above 10 TB.

22. In fact, informatization in China is still in its infancy. Perhaps many people think that with a PC, people can surf the Internet, and there are many softwares available, so the degree of informatization will go up? Actually, it is not.

23. The advanced stage of informatization should include accurate and rapid processing, query and analysis of data.

24. At present, almost all national government departments and scientific research institutions in the United States are equipped with data warehouse systems, but the general business systems of many departments in China are not perfect enough, let alone building data warehouses.

25. In fact, the most meaningful project should be the data warehouse construction of China Ministry of Agriculture.

26. After the completion of the data center/data warehouse, all towns and villages in China can query and analyze specific information as their users. Will there be a phenomenon that crops can't be sold and ordinary people can't afford it? Don't! Because of what is suitable for planting in various places, the market demand of various crops in that year was obvious.

27. However, informatization is not everything, and there must be corresponding supporting measures, such as agricultural technical guidance, specialized procurement, logistics and sales companies.