Big data Internet of things blockchain

1. The relationship between Chongqing jinwowo analysis blockchain technology and big data is as follows:
the relationship between blockchain and big data is not very big. The main purpose of big data is to manage massive data, and the core of blockchain is to achieve high security and high reliability of data without centralized intermediary accounting
therefore, blockchain and big data do not conflict with or replace each other. They are completely different solutions for data in different scenarios.

2. Nice DDE is the first and only doctoral program in blockchain and digital economy management in China
nice EDE, whose full name is nice University, is a master of advanced management in blockchain and digital economy. In cooperation with China Mobile Communications Federation, nice EDE obtained the master of advanced management in blockchain and digital economy from nice University and the certificate of shortage talents from China Mobile Communications Federation after graation. Instry authority certificate
it can help enterprises cope with the pressure brought by challenges and innovation, and seize the business opportunities brought by cutting-edge technology and the latest information, which is of great value to learners and their enterprises
the nice DDE course is divided into three moles. Mole one is the basic mole of methodology, such as qualitative research method, quantitative research method and research methodology, which is the core framework course of thesis writing; Mole 2 is the core course mole of management, including information system management, cross-cultural management, supply chain management, behavior and human resources, system theory and other related courses; Mole 3 is the instry innovation course, including: Quantum Science and operations research, China blockchain mode, big data, China chain Internet of things, digital technology and ethics, data assets and management, etc
nice University DDE (Doctor of blockchain and digital economy management) and EDE (Senior Master of blockchain and digital economy management) agents in China: Xiejin ecation Xipu international ecation, D, 19th floor, Shentong Information Plaza, 55 Huaihai West Road, Shanghai. The teaching places are Shanghai, Shenzhen, Guangzhou and Beijing.

3. Blockchain. The following is a detailed introction of bitcoin from AEX exchange coin network:
the concept of bitcoin was first proposed by Nakamoto in 2009. According to Nakamoto's idea, the open source software was designed and released, and the P2P network on it was built. Bitcoin is a kind of P2P digital currency. Point to point transmission means a decentralized payment system. Unlike most currencies, bitcoin does not rely on specific currency institutions. It is generated by a large number of calculations based on specific algorithms. Bitcoin economy uses the distributed database composed of many nodes in the whole P2P network to confirm and record all transactions, and uses the design of cryptography to ensure the security of all aspects of currency circulation. The decentralized nature of P2P and the algorithm itself can ensure that it is impossible to artificially manipulate the value of bitcoin by mass manufacturing. The design based on cryptography can make bitcoin only be transferred or paid by the real owner. This also ensures the anonymity of money ownership and circulation transactions. The biggest difference between bitcoin and other virtual currencies is that the total amount of bitcoin is very limited and it has a strong scarcity. The monetary system used to have no more than 10.5 million in four years, after which the total number will be permanently limited to 21 million. Bitcoin can be cashed and converted into the currency of most countries. Users can use bitcoin to buy some virtual goods, such as clothes, hats and equipment in online games. As long as someone accepts it, they can also use bitcoin to buy real-life goods.

4.

1. What is the Internet of things

in fact, in a simple way, big data is to assist decision-making by analyzing and mining a full amount of non sampling data

the characteristics of big data

big data refers to the massive, high growth rate and diversified information capital that needs new data processing mode to collect, store, manage and analyze its content for the purpose of serving decision-making

big data has the following essential characteristics:

1. The fundamental purpose is to serve decision-making. Big data can help all kinds of organizations and indivials greatly improve their decision-making ability and make better decisions and judgments

Big data usually refers to the amount of data above 100t, which is difficult to be calculated effectively by traditional calculation methods, but must rely on new calculation methods and data mining tools

3. High frequency, big data is the data generated by user participation and interaction, according to the user's network traces to timely understand the user's relevant data, this kind of data is high-frequency data calculated by day or even hour. But the traditional data frequency is very low, many data are calculated by month or even by year

Big data is real-time data and can react in real time. For example, entering a keyword in the web search box can instantly present it, while the traditional data collection method is seriously lagging behind

5. Always online. Online is the precondition of big data. From this point of view, big data is always online and can be called at any time. By analyzing the traces of users on various network terminals, big data can better analyze users' behaviors, emotions, thoughts, hobbies and needs, so as to make better decisions and analysis

three key points of big data

first, the availability of data. At present, in China, the development of big data is seriously constrained by the lack of publicity of government information, a lot of data is difficult to obtain, leading to the difficulty of real big data mining and analysis, which requires the government to open more data in time to improve the availability of data

Secondly, the scientific model construction. The scientific nature of the model directly determines the quality of data analysis, which requires a high level of modeling, of course, the more data is concive to the reasonable construction of the model

Third, use experts to refine opinions. The original and high-quality viewpoint based on data mining, which provides the basis for decision-making, highly relies on high-quality data interpretation, which reflects the value of instry experts

provided by IOT media

5. What's the difference between the Internet of things, blockchain and big data
in the near future, the number of devices in the Internet of things will explode, which may be hundreds of billions or trillions. If such a huge network is still managed in a centralized networking mode, the infrastructure investment and maintenance of the data center should be incalculable
in essence, big data belongs to a small branch of database, so this problem is attributed to the relationship between big data and database. Database is a very old research field in software, Internet and it. From the initial file system to ER model, to the three achievements of traditional database, which are known to all, relational model, transaction processing and query optimization, to the rise of NoSQL database after the popularity of Internet, database technology is constantly developing and changing, Then it also includes semi-structured data processing represented by XML and unstructured data processing such as text and voice

it seems that the relationship between blockchain and database is actually such a relationship. From the evolution process of database technology, we can find that it always comes from how to meet new business requirements and then create new data processing technologies. For example, from the beginning of the file system, why do we need the ER model? It is because with the development of the financial instry, people have further requirements for these fast accounting, high concurrency data writing and access, which leads to the emergence and rapid development of the entity relationship model. Why did NoSQL database appear later? It is because the rapid development of the Internet puts forward higher requirements for updating the database, so in essence we think that the whole Internet is a big database
things are always developing. Of course, after we solve the problem of massive real-time data processing on the Internet through NoSQL database and cloud storage, the next problem must come, that is, how to solve the authenticity and effectiveness of data in a large-scale way
for example, it may be related to our diet, from the problem of food and clothing at the beginning, to the problem of nutrition structure, and then to the problem of food safety that everyone is concerned about. The development of database is the same. When we can solve these problems of data storage and data access through ER entity relationship model and NoSQL database, Next, we need to care about and solve the problem of authenticity and effectiveness
so at this stage, these technologies, represented by blockchain, must be a new starting point and new requirements for the authenticity, validity, unforgeability and tamper resistance of data compared with the current database. We can clearly feel that the trend of database and blockchain integration is actually very close and irresistible, just like the movie just mentioned, the procers of content begin to develop in the direction of virtual reality and augmented reality; From the perspective of database, blockchain is a new way of data organization. We believe that big data and blockchain are integrated.

6. You can go to the stock sector to look for big data, which has the concept of stocks.

7. At present, it is a bit difficult
in a word, blockchain is decentralized, using the trust protocol between distributed data nodes to achieve data sharing and mining upgrade. Artificial intelligence covers a wide range, including language recognition, image recognition, machine learning, intelligent logic and many other disciplines.

8. If you don't understand this, don't do it. It's all virtual things. When the landlord asks questions, it's deceptive. It's obvious that those who advertise on this platform value your principal

9. Today, big data, blockchain and other new technologies are sweeping the world, "digital economy" is profoundly changing people's lives and lifestyles. As a new driving force of economic growth, the role of "blockchain + big data" has become increasingly prominent. It is one of the technology hotspots in the forefront of Internet technology, relying on such a perfect combination
the development of Internet, including e-commerce, Internet of things, government affairs and other fields, will open up a new situation, and many cross instry and cross regional innovative cooperation modes will be established.

10. The first of the seven big data trends is the Internet of things
costar, chief editor of pcmagazine in the United States, said he believes that digital convergence is the development trend of big data, which has the greatest impact on the future. Combined with the Internet of things, blockchain, artificial intelligence, speech recognition and other technologies, these technologies complement each other
Costa pointed out that he thinks there are seven trends in the future application of big data
the first trend is the Internet of things, with 8.4 billion items interconnected, far larger than the global population; Not only are 3C procts such as desk, laptop or mobile phone linked with each other, but also logistics companies use smart scanners to do smart logistics, which can change the trend of consumers and enterprises, but there is the problem of capital security risk
the second trend is smart city. The success or failure of this trend depends on the amount of data and the adequacy of data, which depends on the cooperation between government departments and private enterprises; In addition, the developing 5g network is a universal specification all over the world. If the proct is adopted by a smart city, it can be applied in smart cities all over the world
the third trend is augmented reality (AR) and virtual reality (VR). Recently, these two technologies began to rece prices and improve quality, and went to the mass market. FB released oculus go, a head mounted VR device, for only $200; Microsoft also released a VR system, which can be used with HTC, Samsung, Acer and other brands of hardware. At the beginning, VR application was mainly based on video games, but now it is beyond video games. For example, it can be used for teaching. For example, he relies on VR equipment to complete the wiring of plug and wire in his home, just like a water and electricity technician is teaching
the fourth trend is blockchain. Costa said that the essence of this technology is encoding and decoding and encryption and decryption, which can effectively encrypt information. There are many different applications of blockchain. Almost all technology companies in the United States are trying to apply it. The most common application is the transaction between bitcoin and other cryptocurrencies
the fifth trend is speech recognition. Speech recognition is a universal screen less interface, which can be quickly integrated into various tools, and it is easy to use in smart devices and mobile phones. Amazon's smart speaker echo has now developed to the third generation, which can turn on and off smart lights, open and ask for information, etc. One of the great advantages of this instry is that the companies that develop the technology intend to commercialize it. For example, the voice recognition technology of Google, Amazon and apple can be used in the hardware services of other companies through authorization
the sixth trend is artificial intelligence (AI), which needs to be ecated and assimilated with a lot of information to evolve and proce some unexpected results. AI has a great influence. For example, in the media instry, computers and robots can write very good articles, and proce hundreds of articles an hour at a low cost. AI will have a dramatic impact on economic development, and many knowledge instries and white-collar jobs may be replaced by robots. But his attitude towards AI is very positive, which will make life better. For example, self driving is definitely safer than human driving
the seventh trend is digital convergence. In his opinion, the trend that will have the greatest impact on the future is the effect of combining the above six trends. For example, 8.4 billion IOT devices can use blockchain technology to enhance security; Through the Internet of things, smart cities can generate massive data, which need to be analyzed by artificial intelligence; Virtual reality and speech recognition also need to learn through artificial intelligence. These technological developments are closely related and complement each other, so digital convergence is the most important trend