AEB digital currency
Publish: 2021-05-17 06:18:45
1. There are three basic types of currency in the wizarding world:
jinjialong
yinxike
tongnat
there is a circle of numbers on the edge of Jialong, which is the number engraved on the goblin of gulinger coins. We don't know if SIKO and Nate have the same number, but it's likely that they do
to facilitate your calculation, we provide the wizard Muggle coin converter
if you don't use a calculator, the conversion of these coins is a bit complicated for Muggles, but it's easy for witches. Hagrid said: "the gold coin is a gallon, 17 silver Sikes for one gallon, 29 Nath for one Sike. It's simple enough." So 1 gallon = 17 SIKO = 493 NAT
JK Rowling said in an interview (CR) that according to her estimation, the value of a gallon is "about 5 pounds", or 7.33 dollars. In the introctions of Quidditch and magical animals, it is mentioned that 250 billion US dollars is equal to 34 billion galleons. That is, one gallon = 5 pounds sterling = 70 RMB
jinjialong
yinxike
tongnat
there is a circle of numbers on the edge of Jialong, which is the number engraved on the goblin of gulinger coins. We don't know if SIKO and Nate have the same number, but it's likely that they do
to facilitate your calculation, we provide the wizard Muggle coin converter
if you don't use a calculator, the conversion of these coins is a bit complicated for Muggles, but it's easy for witches. Hagrid said: "the gold coin is a gallon, 17 silver Sikes for one gallon, 29 Nath for one Sike. It's simple enough." So 1 gallon = 17 SIKO = 493 NAT
JK Rowling said in an interview (CR) that according to her estimation, the value of a gallon is "about 5 pounds", or 7.33 dollars. In the introctions of Quidditch and magical animals, it is mentioned that 250 billion US dollars is equal to 34 billion galleons. That is, one gallon = 5 pounds sterling = 70 RMB
2. The people's Bank of China basically has these eight types of Posts:
1. Economic and Financial Post
Economic and Financial Post belongs to the relatively omnipotent post of the people's Bank of China, except for monetary and credit policy implementation and supervision, investigation and research, data analysis, instry report, credit business processing, treasury business, foreign exchange business, on-site inspection and off-site inspection, The staff of economic and financial posts in some branches will also participate in other work contents such as accounting, statistics, management, etc., and the specific requirements of the staff in the branches shall prevail
2. Accounting post
accounting generally has two departments, one is the accounting and financial department, which is responsible for financial management; The second is the accounting department, mainly the business office and the state treasury department. The work content of the accounting post is mainly responsible for the Treasury revenue and expenditure accounting business operation, currency issuance, such as the delivery and storage of RMB, etc; Operating payment system, fund transfer, account management, payment and settlement, inter-bank fund transactions, foreign exchange business, etc; Daily business and internal audit of PBC
3. Legal post
the main responsibilities of legal post are office legal management and comprehensive management, such as contracting the interpretation of financial laws and regulations according to law; Undertake the work of administrative reconsideration and administrative response, carry out financial legal consulting business, financial training, economic legal services related work, such as organizing financial legal ecation and publicity. At the same time, we should do a good job in the legal compliance and other routine work, such as drafting, reviewing the contract text, participating in the project negotiation and litigation and other legal affairs, legal research on digital currency and legal affairs of digital currency Research Institute
4. Computer post
Computer post is mainly engaged in the development, operation and maintenance of the business system of the people's Bank of China, performing the responsibilities of the central bank, and supervising the financial institutions within its jurisdiction in information security, financial IC card, Internet Finance and other aspects
there are four specific points as follows: first, be responsible for the operation and maintenance of the people's Bank of China's business system network and computer room, security technical support and guarantee, as well as the collection, summary and analysis of relevant information and data; Second. Engaged in financial instry big data analysis, software architecture design, software development, project management, system integration, network security, information security, national secret algorithm, security testing related work; Third, responsible for the legal digital currency related software system, encryption technology and security model, transaction terminal chip technology research and development; Fourth, operation and maintenance of payment and settlement system
5. Statistical post
statistical post generally requires economics and statistics related professional background. We can understand the main work from the following three points. First, data collection and collation, such as statistical economic indicators, survey statistics; Second, quantitative and qualitative analysis of data, instry research, etc; Third, policy effect research and suggestions, such as providing financial information consultation, credit management and other related work
from this, we can see that the statistical post basically does research and statistics work, so the unified survey is an important department, but the work contents of different branches may vary, such as county branches, which mainly do the deposit loan ratio statistics of County commercial banks< Because branches of the people's Bank of China and branches of the State Administration of foreign exchange work together, branches of the people's Bank of China also undertake the corresponding foreign exchange management
English positions are mainly engaged in international related business, foreign exchange management and clerical and comprehensive related work. Such as data compilation in research and analysis. Specifically speaking, international trade project negotiation, reception and translation of international business conference, text translation, preparation of Market Research Report and other proct and brand publicity
7. Management post
management is more inclined to public management, administrative management, human resource management and other related majors. It mainly refers to the comprehensive management of office internal work of PBC branches
the specific responsibilities are as follows: first, comprehensive administrative management, such as the drafting of relevant documents, the organization of important meetings, the handling of messages, secretarial affairs, etc. Second, channel management, tracking research and evaluation. Third, be responsible for the management, coordination and organization of the proction of commemorative coins. Fourth, domestic market development related work. Fifth, discipline inspection and supervision. Sixth, engaged in document operation, management and other administrative affairs
8. Other categories
in addition to the seven general categories, there is another special category for the recruitment majors of PBC. Today, let's take a little look at other classes. The job responsibilities of each branch are mainly security post and some special requirements. Among them, the characteristic of security post is that some recruitment agencies require candidates to be security related majors such as security management and security prevention in military academies, police academies and public security academies.
1. Economic and Financial Post
Economic and Financial Post belongs to the relatively omnipotent post of the people's Bank of China, except for monetary and credit policy implementation and supervision, investigation and research, data analysis, instry report, credit business processing, treasury business, foreign exchange business, on-site inspection and off-site inspection, The staff of economic and financial posts in some branches will also participate in other work contents such as accounting, statistics, management, etc., and the specific requirements of the staff in the branches shall prevail
2. Accounting post
accounting generally has two departments, one is the accounting and financial department, which is responsible for financial management; The second is the accounting department, mainly the business office and the state treasury department. The work content of the accounting post is mainly responsible for the Treasury revenue and expenditure accounting business operation, currency issuance, such as the delivery and storage of RMB, etc; Operating payment system, fund transfer, account management, payment and settlement, inter-bank fund transactions, foreign exchange business, etc; Daily business and internal audit of PBC
3. Legal post
the main responsibilities of legal post are office legal management and comprehensive management, such as contracting the interpretation of financial laws and regulations according to law; Undertake the work of administrative reconsideration and administrative response, carry out financial legal consulting business, financial training, economic legal services related work, such as organizing financial legal ecation and publicity. At the same time, we should do a good job in the legal compliance and other routine work, such as drafting, reviewing the contract text, participating in the project negotiation and litigation and other legal affairs, legal research on digital currency and legal affairs of digital currency Research Institute
4. Computer post
Computer post is mainly engaged in the development, operation and maintenance of the business system of the people's Bank of China, performing the responsibilities of the central bank, and supervising the financial institutions within its jurisdiction in information security, financial IC card, Internet Finance and other aspects
there are four specific points as follows: first, be responsible for the operation and maintenance of the people's Bank of China's business system network and computer room, security technical support and guarantee, as well as the collection, summary and analysis of relevant information and data; Second. Engaged in financial instry big data analysis, software architecture design, software development, project management, system integration, network security, information security, national secret algorithm, security testing related work; Third, responsible for the legal digital currency related software system, encryption technology and security model, transaction terminal chip technology research and development; Fourth, operation and maintenance of payment and settlement system
5. Statistical post
statistical post generally requires economics and statistics related professional background. We can understand the main work from the following three points. First, data collection and collation, such as statistical economic indicators, survey statistics; Second, quantitative and qualitative analysis of data, instry research, etc; Third, policy effect research and suggestions, such as providing financial information consultation, credit management and other related work
from this, we can see that the statistical post basically does research and statistics work, so the unified survey is an important department, but the work contents of different branches may vary, such as county branches, which mainly do the deposit loan ratio statistics of County commercial banks< Because branches of the people's Bank of China and branches of the State Administration of foreign exchange work together, branches of the people's Bank of China also undertake the corresponding foreign exchange management
English positions are mainly engaged in international related business, foreign exchange management and clerical and comprehensive related work. Such as data compilation in research and analysis. Specifically speaking, international trade project negotiation, reception and translation of international business conference, text translation, preparation of Market Research Report and other proct and brand publicity
7. Management post
management is more inclined to public management, administrative management, human resource management and other related majors. It mainly refers to the comprehensive management of office internal work of PBC branches
the specific responsibilities are as follows: first, comprehensive administrative management, such as the drafting of relevant documents, the organization of important meetings, the handling of messages, secretarial affairs, etc. Second, channel management, tracking research and evaluation. Third, be responsible for the management, coordination and organization of the proction of commemorative coins. Fourth, domestic market development related work. Fifth, discipline inspection and supervision. Sixth, engaged in document operation, management and other administrative affairs
8. Other categories
in addition to the seven general categories, there is another special category for the recruitment majors of PBC. Today, let's take a little look at other classes. The job responsibilities of each branch are mainly security post and some special requirements. Among them, the characteristic of security post is that some recruitment agencies require candidates to be security related majors such as security management and security prevention in military academies, police academies and public security academies.
3. Hello, blockchain articles suggest that you can refer to such block financial media as golden finance and bullock. There are many good articles on them Bit-Z
4. It means that the amount of data involved is so large that it is impossible to capture, manage, process and collate the information in a reasonable time through the current mainstream software tools to help enterprises make more positive decisions. 4V features of big data: volume, velocity, variety and veracity“ "Big data" is a data set composed of a large number, complex structure and many types of data. It is a data processing and application mode based on cloud computing. Through the integration, sharing and cross reuse of data, it forms intellectual resources and knowledge service capabilities.
5. The actual situation may be like this, table 1 has the name of the proct, table 2 does not have the name of the proct. Therefore, if you want to include the fields in Table 1 in the query, you need to use association, so it's best to index both table 1 and table 2 on the ID. Re Association; If Table 1 is not included, only index table 2
according to the environment here, moving index will be faster than scanning full table
then, you can start the tracking function in the sqlplus environment to view the execution plan of this statement
for SQL optimization, you can refer to the books on Oracle Performance Tuning
above!
according to the environment here, moving index will be faster than scanning full table
then, you can start the tracking function in the sqlplus environment to view the execution plan of this statement
for SQL optimization, you can refer to the books on Oracle Performance Tuning
above!
6. Big data analysis or the end of traditional data statistics
this is the reason for the existence of big data analysis, which is unprecedented. It's not just the concept of big data itself that reminds us, at least we can go back to the beginning of the 21st century, "at that time, the storage and CPU technology was inundated by megabytes of data, and it was facing the crisis of data scalability." Advanced analysis techniques (such as data mining) are unprecedented in applications for large-scale and different data sets. This is the epoch-making significance brought by the emergence of big data analysis. 'it's a signal that the data scalability crisis is over,' Mr. lutham said
this has brought unprecedented significance to enterprises. According to the data collected by enterprises, data mining, data analysis, and in some cases make relevant reports. That's why practices such as data sampling are seen as a practical necessity for businesses
"you can't put the whole dataset into a data mining plan. You have to choose the data you need, you have to make sure it's correct, because if you don't put in the right data, your technology may not work. " Data warehouse research institute researcher mark? Madsen told the participants at the Forecast Analysis Seminar
"you can put a small proportion of the data you collected into mining... Sampling probability events." "But decomposition will be very rare, very rare events, making it very difficult to become a sample," he continued
ideally, you need to identify all these "rare" events, which are anomalies such as fraud, customer churn and potential supply chain disruption. They are high value things hidden in your undifferentiated data, which are hard to find
these suppliers are not just talking about big data, they are talking about the combination of big data with advanced analysis technologies, such as data mining, statistical analysis and predictive analysis. In other words, they are talking about big data analysis
according to the research of data warehouse Research Institute, big data analysis has not come yet; It has not been accepted by the mainstream. In a recent survey by the data warehouse Research Institute, more than one-third (34%) of the respondents said that their enterprises have implemented some form of advanced analysis combined with big data. In most cases, they only use very simple methods. For example, data sampling
"if you continue to use the data sampling method, you can actually process all the data, but the scientific nature of the data is weakened in essence." He said“ In the world of Hadoop, there is no reason not to use commercial hardware and real intelligent software. In the past, when we used sampling data, there may be reasons for economic cost or technology failure. But today, none of these reasons exist. Data sampling has been the best practice in the past, but I think its time is over. "
"the problem of looking for a needle in a haystack is not suitable for using samples, so if you overemphasize the training set, it may lead to problems." Madsen, who is in charge of information management consulting, points out that "in the end, it's easier to run the whole data set than to follow the statistical algorithm and worry about the samples. Technology can handle data issues when there are allocation challenges and access statistical methods. "
this is the reason for the existence of big data analysis, which is unprecedented. It's not just the concept of big data itself that reminds us, at least we can go back to the beginning of the 21st century, "at that time, the storage and CPU technology was inundated by megabytes of data, and it was facing the crisis of data scalability." Advanced analysis techniques (such as data mining) are unprecedented in applications for large-scale and different data sets. This is the epoch-making significance brought by the emergence of big data analysis. 'it's a signal that the data scalability crisis is over,' Mr. lutham said
this has brought unprecedented significance to enterprises. According to the data collected by enterprises, data mining, data analysis, and in some cases make relevant reports. That's why practices such as data sampling are seen as a practical necessity for businesses
"you can't put the whole dataset into a data mining plan. You have to choose the data you need, you have to make sure it's correct, because if you don't put in the right data, your technology may not work. " Data warehouse research institute researcher mark? Madsen told the participants at the Forecast Analysis Seminar
"you can put a small proportion of the data you collected into mining... Sampling probability events." "But decomposition will be very rare, very rare events, making it very difficult to become a sample," he continued
ideally, you need to identify all these "rare" events, which are anomalies such as fraud, customer churn and potential supply chain disruption. They are high value things hidden in your undifferentiated data, which are hard to find
these suppliers are not just talking about big data, they are talking about the combination of big data with advanced analysis technologies, such as data mining, statistical analysis and predictive analysis. In other words, they are talking about big data analysis
according to the research of data warehouse Research Institute, big data analysis has not come yet; It has not been accepted by the mainstream. In a recent survey by the data warehouse Research Institute, more than one-third (34%) of the respondents said that their enterprises have implemented some form of advanced analysis combined with big data. In most cases, they only use very simple methods. For example, data sampling
"if you continue to use the data sampling method, you can actually process all the data, but the scientific nature of the data is weakened in essence." He said“ In the world of Hadoop, there is no reason not to use commercial hardware and real intelligent software. In the past, when we used sampling data, there may be reasons for economic cost or technology failure. But today, none of these reasons exist. Data sampling has been the best practice in the past, but I think its time is over. "
"the problem of looking for a needle in a haystack is not suitable for using samples, so if you overemphasize the training set, it may lead to problems." Madsen, who is in charge of information management consulting, points out that "in the end, it's easier to run the whole data set than to follow the statistical algorithm and worry about the samples. Technology can handle data issues when there are allocation challenges and access statistical methods. "
7. Big data refers to the data set that cannot be captured, managed and processed by conventional software tools within a certain time range. It is a massive, high growth rate and diversified information asset that requires new processing mode to have stronger decision-making power, insight and process optimization ability. In short, big data is massive data, which means a large amount of data, wide sources of data There are many kinds (log, video, audio), up to Pb level. The current framework is to solve the problem of Pb level data
seven characteristics of big data: magnanimity, diversity, high speed, variability, authenticity, complexity and value
with the development of big data instry, it has graally evolved from a high-end and theoretical concept to a specific and practical concept
in many cases, big data comes from life
for example, when you order takeout, when you are going to buy it, where you are, where businesses are, and what you want to eat... These are all data. With more people, more and more various kinds of information are available, and they are growing constantly. If you concentrate these information, it is big data
the value of big data lies not in the data, but in the information hidden behind the data -- users' preferences, habits and information.
seven characteristics of big data: magnanimity, diversity, high speed, variability, authenticity, complexity and value
with the development of big data instry, it has graally evolved from a high-end and theoretical concept to a specific and practical concept
in many cases, big data comes from life
for example, when you order takeout, when you are going to buy it, where you are, where businesses are, and what you want to eat... These are all data. With more people, more and more various kinds of information are available, and they are growing constantly. If you concentrate these information, it is big data
the value of big data lies not in the data, but in the information hidden behind the data -- users' preferences, habits and information.
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