Position: Home page » Blockchain » Won't blockchain cause data redundancy
Won't blockchain cause data redundancy
Publish: 2021-04-18 11:38:15
1. Private key~
2. 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.
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.
3. The relationship between 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.
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.
4. The relationship between blockchain and big data storage is as follows:
first, data security: blockchain makes data flow "at ease"
with its trustworthiness, security and non tamperability, blockchain liberates more data. A typical case is used to illustrate how blockchain promotes the generation of big data for gene sequencing. Blockchain sequencing can use the private key to limit access rights, so as to avoid the legal restrictions on indivial access to gene data, and use distributed computing resources to complete the sequencing service at low cost. The security of blockchain makes sequencing an instrialized solution, realizing global scale sequencing, thus promoting the massive growth of data< Second, data open sharing: blockchain guarantees data privacy
the government has a large number of high-density and high-value data, such as medical data, population data, etc. The opening of government data is the general trend, which will have an inestimable impetus to the development of the whole economy and society. However, the main difficulty and challenge of data opening is how to open data while protecting personal privacy. Data desensitization technology based on blockchain can ensure data privacy and provide a solution for data opening under privacy protection. Data desensitization technology mainly uses hash processing and other encryption algorithms. For example, enigma based on blockchain technology can protect the privacy of data and eliminate information security problems in data sharing by computing data without accessing the original data. For example, employees of a company can safely open the path to access their salary information and jointly calculate the average salary within the group. Each participant can know his or her relative position in the group, but he or she knows nothing about the salaries of other members< The schematic diagram of data hash desensitization processing
3. Data storage: blockchain is a kind of database storage technology that can not be tampered with, full history, strong endorsement
blockchain technology, through all nodes in the network participate in the calculation together, and verify the authenticity of their information to achieve the consensus of the whole network, it can be said that blockchain technology is a specific database technology. So far, our big data is still in a very basic stage. The data based on the consensus of the whole network and the reliable blockchain data are tamperable and historical, which makes the quality of the data gain unprecedented strong trust endorsement, and also makes the development of the database enter a new era< Data analysis: blockchain ensures data security
data analysis is the core of realizing data value. In data analysis, how to effectively protect personal privacy and prevent core data leakage has become the primary consideration. For example, with the application of fingerprint data analysis and the popularization of genetic data detection and analysis, more and more people worry that once personal health data is leaked, it may lead to serious consequences. Blockchain technology can prevent this kind of situation through multi signature private key, encryption technology and secure multi-party computing technology. When the data is hashed and placed on the blockchain, the use of digital signature technology can enable those authorized people to access the data. The private key not only ensures the privacy of data, but also can be shared with authorized research institutions. The data is stored on the decentralized blockchain and analyzed without accessing the original data. It can not only protect the privacy of the data, but also provide it to the global scientific research institutions and doctors for sharing. As the basic health database of all mankind, it will bring great convenience to solve the sudden and difficult diseases in the future
v. data circulation: blockchain protects the rights and interests related to data
for valuable data assets of indivials or institutions, blockchain can be used to register them. Transaction records are recognized, transparent and traceable throughout the network, making clear the source, ownership, use right and circulation path of big data assets, which is of great value to data asset transaction
on the one hand, blockchain can break the threat of intermediary ing data, which is concive to the establishment of a trusted data asset trading environment. Data is a very special commodity, which is essentially different from ordinary commodities. It is mainly characterized by unclear ownership and "being owned after seeing and ing", which also determines that the traditional commodity intermediary transaction method can not meet the needs of data sharing, exchange and transaction. Because the intermediary center has the conditions and the ability to and save all the flowing data, it is extremely unfair to the data procers. This threat can not be eliminated only by commitment, and the existence of this threat has become a huge obstacle to the flow of data. Based on the decentralized blockchain, it can break the threat of ing data in the intermediary center and protect the legitimate rights and interests of data owners
on the other hand, blockchain provides a traceable path, which can effectively solve the problem of data right confirmation. Through multiple nodes participating in the calculation in the network, blockchain can participate in the calculation and recording of data together, and verify the effectiveness of their information. It can not only carry out information anti-counterfeiting, but also provide a traceable path. The transaction information of each block is strung together to form a complete detailed list of transactions. The context of each transaction is very clear and transparent. In addition, when people have doubts about the "value" of a block, they can easily trace back the historical transaction records, and then judge whether the value is correct, and identify whether the value has been tampered or recorded incorrectly
with the protection of blockchain, big data will naturally become more active
the tokens of crowdfunding projects on coin Ying China platform are all developed based on blockchain technology, and relevant information will be recorded on the blockchain.
first, data security: blockchain makes data flow "at ease"
with its trustworthiness, security and non tamperability, blockchain liberates more data. A typical case is used to illustrate how blockchain promotes the generation of big data for gene sequencing. Blockchain sequencing can use the private key to limit access rights, so as to avoid the legal restrictions on indivial access to gene data, and use distributed computing resources to complete the sequencing service at low cost. The security of blockchain makes sequencing an instrialized solution, realizing global scale sequencing, thus promoting the massive growth of data< Second, data open sharing: blockchain guarantees data privacy
the government has a large number of high-density and high-value data, such as medical data, population data, etc. The opening of government data is the general trend, which will have an inestimable impetus to the development of the whole economy and society. However, the main difficulty and challenge of data opening is how to open data while protecting personal privacy. Data desensitization technology based on blockchain can ensure data privacy and provide a solution for data opening under privacy protection. Data desensitization technology mainly uses hash processing and other encryption algorithms. For example, enigma based on blockchain technology can protect the privacy of data and eliminate information security problems in data sharing by computing data without accessing the original data. For example, employees of a company can safely open the path to access their salary information and jointly calculate the average salary within the group. Each participant can know his or her relative position in the group, but he or she knows nothing about the salaries of other members< The schematic diagram of data hash desensitization processing
3. Data storage: blockchain is a kind of database storage technology that can not be tampered with, full history, strong endorsement
blockchain technology, through all nodes in the network participate in the calculation together, and verify the authenticity of their information to achieve the consensus of the whole network, it can be said that blockchain technology is a specific database technology. So far, our big data is still in a very basic stage. The data based on the consensus of the whole network and the reliable blockchain data are tamperable and historical, which makes the quality of the data gain unprecedented strong trust endorsement, and also makes the development of the database enter a new era< Data analysis: blockchain ensures data security
data analysis is the core of realizing data value. In data analysis, how to effectively protect personal privacy and prevent core data leakage has become the primary consideration. For example, with the application of fingerprint data analysis and the popularization of genetic data detection and analysis, more and more people worry that once personal health data is leaked, it may lead to serious consequences. Blockchain technology can prevent this kind of situation through multi signature private key, encryption technology and secure multi-party computing technology. When the data is hashed and placed on the blockchain, the use of digital signature technology can enable those authorized people to access the data. The private key not only ensures the privacy of data, but also can be shared with authorized research institutions. The data is stored on the decentralized blockchain and analyzed without accessing the original data. It can not only protect the privacy of the data, but also provide it to the global scientific research institutions and doctors for sharing. As the basic health database of all mankind, it will bring great convenience to solve the sudden and difficult diseases in the future
v. data circulation: blockchain protects the rights and interests related to data
for valuable data assets of indivials or institutions, blockchain can be used to register them. Transaction records are recognized, transparent and traceable throughout the network, making clear the source, ownership, use right and circulation path of big data assets, which is of great value to data asset transaction
on the one hand, blockchain can break the threat of intermediary ing data, which is concive to the establishment of a trusted data asset trading environment. Data is a very special commodity, which is essentially different from ordinary commodities. It is mainly characterized by unclear ownership and "being owned after seeing and ing", which also determines that the traditional commodity intermediary transaction method can not meet the needs of data sharing, exchange and transaction. Because the intermediary center has the conditions and the ability to and save all the flowing data, it is extremely unfair to the data procers. This threat can not be eliminated only by commitment, and the existence of this threat has become a huge obstacle to the flow of data. Based on the decentralized blockchain, it can break the threat of ing data in the intermediary center and protect the legitimate rights and interests of data owners
on the other hand, blockchain provides a traceable path, which can effectively solve the problem of data right confirmation. Through multiple nodes participating in the calculation in the network, blockchain can participate in the calculation and recording of data together, and verify the effectiveness of their information. It can not only carry out information anti-counterfeiting, but also provide a traceable path. The transaction information of each block is strung together to form a complete detailed list of transactions. The context of each transaction is very clear and transparent. In addition, when people have doubts about the "value" of a block, they can easily trace back the historical transaction records, and then judge whether the value is correct, and identify whether the value has been tampered or recorded incorrectly
with the protection of blockchain, big data will naturally become more active
the tokens of crowdfunding projects on coin Ying China platform are all developed based on blockchain technology, and relevant information will be recorded on the blockchain.
5. Hello, of course.
blockchain is a new application mode of distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and other computer technologies. Blockchain is an important concept of bitcoin. It is essentially a decentralized database. At the same time, as the underlying technology of bitcoin, it is a series of data blocks generated by using cryptographic methods. Each data block contains a batch of information about bitcoin network transactions, Used to verify the validity of its information (anti-counterfeiting) and generate the next block. In fact, the original English version of bitcoin white paper [1] does not use the word blockchain, but uses the word chain of blocks. In the earliest Chinese translation of bitcoin white paper [2], chain of blocks was translated into blockchain. This is the earliest time when the Chinese word "blockchain" appeared.
blockchain is a new application mode of distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and other computer technologies. Blockchain is an important concept of bitcoin. It is essentially a decentralized database. At the same time, as the underlying technology of bitcoin, it is a series of data blocks generated by using cryptographic methods. Each data block contains a batch of information about bitcoin network transactions, Used to verify the validity of its information (anti-counterfeiting) and generate the next block. In fact, the original English version of bitcoin white paper [1] does not use the word blockchain, but uses the word chain of blocks. In the earliest Chinese translation of bitcoin white paper [2], chain of blocks was translated into blockchain. This is the earliest time when the Chinese word "blockchain" appeared.
6. DGC is really unreliable. It's been 20 days since the withdrawal. I think it's really unreliable. Sorry to die
7. With the combination of 5g and robot technology, new consumer electronics procts are emerging. AI solves the problem of machine understanding the world and human-computer interaction. 5g expands the mobile boundary of the robot, and provides more computing power and storage space for the robot (cloud cooperative robot)< According to the IFR classification method, robots can be roughly divided into instrial robots and service robots. Traditional instrial robots are mainly used in automobile and parts, electronic manufacturing, metal and machinery, food processing and so on. Its main feature is to complete the specified action along the specified path according to the predetermined procere. How can AI / 5G enable robots
the application of AI Artificial Intelligence has given birth to service robots. Service robot covers a wide range, including medical, logistics, agriculture, commerce, civil and other aspects. Through the use of AI technology, through data collection, analysis and calculation, service robot can learn human behavior, understand human intention and cooperate with human< According to IFR calculation, the global robot market in 2017 reached US $23.2 billion, of which the instrial robot market reached US $14.7 billion, with 85 robots per 10000 people. The rest is the service robot market, with a market size of US $8.5 billion
by 2030, the robot market is expected to reach 102.8 billion US dollars, about 20% of the smartphone market. Service robots will reach US $56.1 billion, maintaining a compound annual growth rate of 16%, which is faster than that of instrial robots. After two years of rapid development in 2017 and 2018, the number and amount of financing in the artificial intelligence instry in 2019 showed a precipice like decline, capital concentrated in the head enterprises one after another, and the survival of small companies was difficult. Even the head companies have encountered obstacles on the way to listing, and the news of layoffs is constantly shrinking. From the external environment, everyone's life is not easy
cheetah global think tank believes that the future of artificial intelligence is not always full of flowers and applause. If artificial intelligence really wants to lead the next decade, it must be that practitioners abandon the flashy valuation, focus on procts, take root in technology, and strive for the realization of the scene overnight
pencil recommendation:
after two years of rapid development in 2017 and 2018, the number and amount of financing in the artificial intelligence instry will show a precipice like decline in 2019, capital will be concentrated in the head enterprises one after another, and small companies will have a hard time surviving. Even the head companies have encountered obstacles on the way to listing, and the news of layoffs is constantly shrinking. From the external environment, everyone's life is not easy
cheetah global think tank believes that the future of artificial intelligence is not always full of flowers and applause. If artificial intelligence really wants to lead the next decade, it must be that practitioners abandon the flashy valuation, focus on procts, take root in technology, and strive for the realization of the scene overnight<
source | cheetah global think tank
authors | Zhou Ting, pan Xinghan, Li Xin, Xiao Haiyan
report guidance | Han Jianqi, Zhou Ting
I. foreword
I. foreword
if you want to establish a biography for artificial intelligence, 2019 is destined to be a different year of seeking normality. Difficult and awkward, rooted and stick to, multiple complex emotions interweave in this year
difficult! After two years of rapid development in 2017 and 2018, the number and amount of financing in the artificial intelligence instry in 2019 showed a precipice like decline, capital concentrated in the head enterprises one after another, and the survival of small companies was difficult. Even the head companies have encountered obstacles on the way to listing, and the news of layoffs is constantly shrinking. From the external environment, everyone's life is not easy
awkward! 2019 is also a year of disillusionment. Artificial intelligence was once seen as the next opportunity to create a 10 billion dollar giant after the mobile Internet. But in 2019, before the arrival of general artificial intelligence, it is not as versatile as people think. The public's enthusiasm for artificial intelligence has also decreased a lot. How many people are still concerned about the man-machine battle between Li Shishi and Korean go AI "Han Dou" in December this year<
we should cultivate grain, build high walls and become king slowly. Cheetah global think tank believes that the future of artificial intelligence is not always full of flowers and applause. If artificial intelligence really wants to lead the next decade, practitioners must abandon the flashy valuation, focus on procts, take root in technology and seize the day in the scene
next, cheetah global think tank will comprehensively scan the development of artificial intelligence in 2019 from the aspects of policy, capital, technology, intelligent service robots, AI application scenarios, etc., trying to show you a more comprehensive commercialization of artificial intelligence in 2019.
the application of AI Artificial Intelligence has given birth to service robots. Service robot covers a wide range, including medical, logistics, agriculture, commerce, civil and other aspects. Through the use of AI technology, through data collection, analysis and calculation, service robot can learn human behavior, understand human intention and cooperate with human< According to IFR calculation, the global robot market in 2017 reached US $23.2 billion, of which the instrial robot market reached US $14.7 billion, with 85 robots per 10000 people. The rest is the service robot market, with a market size of US $8.5 billion
by 2030, the robot market is expected to reach 102.8 billion US dollars, about 20% of the smartphone market. Service robots will reach US $56.1 billion, maintaining a compound annual growth rate of 16%, which is faster than that of instrial robots. After two years of rapid development in 2017 and 2018, the number and amount of financing in the artificial intelligence instry in 2019 showed a precipice like decline, capital concentrated in the head enterprises one after another, and the survival of small companies was difficult. Even the head companies have encountered obstacles on the way to listing, and the news of layoffs is constantly shrinking. From the external environment, everyone's life is not easy
cheetah global think tank believes that the future of artificial intelligence is not always full of flowers and applause. If artificial intelligence really wants to lead the next decade, it must be that practitioners abandon the flashy valuation, focus on procts, take root in technology, and strive for the realization of the scene overnight
pencil recommendation:
after two years of rapid development in 2017 and 2018, the number and amount of financing in the artificial intelligence instry will show a precipice like decline in 2019, capital will be concentrated in the head enterprises one after another, and small companies will have a hard time surviving. Even the head companies have encountered obstacles on the way to listing, and the news of layoffs is constantly shrinking. From the external environment, everyone's life is not easy
cheetah global think tank believes that the future of artificial intelligence is not always full of flowers and applause. If artificial intelligence really wants to lead the next decade, it must be that practitioners abandon the flashy valuation, focus on procts, take root in technology, and strive for the realization of the scene overnight<
source | cheetah global think tank
authors | Zhou Ting, pan Xinghan, Li Xin, Xiao Haiyan
report guidance | Han Jianqi, Zhou Ting
I. foreword
I. foreword
if you want to establish a biography for artificial intelligence, 2019 is destined to be a different year of seeking normality. Difficult and awkward, rooted and stick to, multiple complex emotions interweave in this year
difficult! After two years of rapid development in 2017 and 2018, the number and amount of financing in the artificial intelligence instry in 2019 showed a precipice like decline, capital concentrated in the head enterprises one after another, and the survival of small companies was difficult. Even the head companies have encountered obstacles on the way to listing, and the news of layoffs is constantly shrinking. From the external environment, everyone's life is not easy
awkward! 2019 is also a year of disillusionment. Artificial intelligence was once seen as the next opportunity to create a 10 billion dollar giant after the mobile Internet. But in 2019, before the arrival of general artificial intelligence, it is not as versatile as people think. The public's enthusiasm for artificial intelligence has also decreased a lot. How many people are still concerned about the man-machine battle between Li Shishi and Korean go AI "Han Dou" in December this year<
we should cultivate grain, build high walls and become king slowly. Cheetah global think tank believes that the future of artificial intelligence is not always full of flowers and applause. If artificial intelligence really wants to lead the next decade, practitioners must abandon the flashy valuation, focus on procts, take root in technology and seize the day in the scene
next, cheetah global think tank will comprehensively scan the development of artificial intelligence in 2019 from the aspects of policy, capital, technology, intelligent service robots, AI application scenarios, etc., trying to show you a more comprehensive commercialization of artificial intelligence in 2019.
Hot content