区块链是否可以取代数据库管理,区块链是否可以取代数据库技术
近年来,区块链技术的发展迅猛,而且这种新兴技术也在不断改变着传统的数据库技术。本文将围绕“区块链是否可以取代数据库管理”这一问题,介绍三个相关的关键词:区块链技术、去中心化数据库和数据安全。
一、区块链技术:区块链技术是一种分布式数据存储技术,它可以将数据存储在不同的节点上,每个节点都可以访问和更新数据,而不需要依赖中心化的服务器。区块链技术的另一个特点是它采用了分布式共识机制,这意味着每个节点都可以安全地共享数据,而不会受到任何外部干扰。
二、去中心化数据库:去中心化数据库是一种分布式数据库,它可以将数据分布在多个节点上,而不需要依赖中心化的服务器。去中心化数据库的优点是可以提供更高的性能和可靠性,同时也可以提高数据安全性。此外,去中心化数据库也可以提高数据的可访问性,因为它可以让用户可以跨越多个服务器访问数据。
三、数据安全:数据安全是指保护数据不受未经授权的访问或修改的能力。区块链技术可以提供更高的数据安全性,因为它可以使用加密技术和分布式共识机制来保护数据。此外,区块链技术还可以提供不可篡改的记录,这样就可以确保数据的完整性和可靠性。
从上述介绍可以看出,区块链技术可以提供更高的数据安全性,更高的可靠性和更高的可访问性,因此可以说它确实可以取代数据库管理。
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㈠ In what fields can blockchain be used to play its greatest role
Blockchain is a decentralized distributed database technology that is reliable It has the advantages of high efficiency, strong security, and non-tampering, so it can be used in many fields. The following are some common fields:
Financial field: Blockchain technology can be applied to digital currency, smart contracts, and asset management. , transaction settlement and other aspects, it can reduce intermediary costs and improve transaction efficiency and security.
Internet of Things field: Blockchain technology can be used for data exchange and value exchange between Internet of Things devices to ensure the authenticity and security of data.
Copyright protection field: Blockchain technology can be used for digital copyright protection to ensure that the rights and interests of intellectual property owners are protected.
Social media field: Blockchain technology can be used to establish a decentralized social network platform, where users can independently control their own data privacy and copyright.
Logistics field: Blockchain technology can be used for data recording and supervision in the logistics process to ensure the safety and accurate delivery of goods.
In general, blockchain technology can be applied to many fields and can achieve decentralization and security of trust mechanisms, but technology selection and implementation plans need to be formulated based on specific circumstances.
㈡ Advantages of blockchain technology
1. Decentralization:
Blockchain technology does not rely on additional third-party management agencies or hardware facilities, and there is no central control , in addition to the self-contained blockchain itself, through distributed accounting and storage, each node realizes information self-verification, transmission and management. Decentralization is the most prominent and essential feature of blockchain.
2. Openness:
The foundation of blockchain technology is open source. In addition to the private information of the parties to the transaction being encrypted, the data of the blockchain is open to everyone. Anyone can access it through the public The interface queries blockchain data and develops related applications, so the entire system information is highly transparent.
3. Independence:
Based on consensus specifications and protocols (similar to various mathematical algorithms such as the hash algorithm used by Bitcoin), the entire blockchain system does not rely on other third parties, and all nodes can Verify and exchange data automatically and securely within the system without any human intervention.
4. Security:
As long as 51% of all data nodes cannot be controlled, network data cannot be manipulated and modified at will. This makes the blockchain itself relatively safe and avoids subjective and artificial data changes.
5. Anonymity:
Unless there are legal requirements, technically speaking, the identity information of each block node does not need to be disclosed or verified, and information transfer can be carried out anonymously.
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㈢ What kind of database is blockchain technology?
Blockchain is a shared distributed database technology. Although the one-sentence introduction to blockchain is worded differently in different reports, the following four technical features are consistent.
1. Decentralization (): The left side of Figure 1 describes the centralized characteristics of today’s financial system, and the right side describes the emerging decentralized financial system, which has no intermediaries and all The rights and obligations of nodes are equal. If any node stops working, it will not affect the overall operation of the system;
2. Trustless: All nodes in the system can be rented and bumped without trust. Transaction, because the operation of the database and the entire system is open and transparent, and within the rules and time range of the system, nodes cannot deceive each other;
3. Collective maintenance (Maintain): The system is It is jointly maintained by all nodes with maintenance functions, and everyone in the system participates in the maintenance work;
4. Reliable Database (ReliableDatabase): Every node in the system has the latest complete database Copying or modifying the database of a single node is invalid because the system will automatically compare and consider the same data record that appears the most times to be true.
The blockchains of projects such as Bitcoin, Ethereum, and DECENT all have these characteristics.
㈣ Blockchain and database advantages PK, which one is better to use
Blockchain is a distributed data storage, point-to-point transmission, consensus mechanism, modular encryption algorithm, etc. New application models of computer technology. Blockchain is an important concept of Bitcoin.
It is essentially a decentralized database. As the underlying technology of Bitcoin, it is a series of cryptographic methods. Tangerine related productsEach data block contains a batch of Bitcoin network transaction information, which is used to verify the validity of the information (anti-counterfeiting) and generate the next block.
(4) Can blockchain replace database? Extended reading
Most public blockchain chains are limited by scalability. The biggest feature of blockchain technology is decentralization, which requires all ledgers in the network to handle the accounting process. Distributed accounting has high security, low misoperation rate, and is also politically neutral and correct.
However, while blockchain technology embraces these characteristics, it sacrifices scalability, cannot meet personalized supervision, and is slightly insufficient in protecting data privacy. Moreover, as the number of ledgers increases, the interaction delay will increase exponentially, which means that the more ledgers in the blockchain network, the higher the latency will be.
㈤ What is the role of blockchain in big data
[Introduction] While big data brings great opportunities to all walks of life, it also brings many challenges. Blockchain, with its decentralization, trustlessness, high transparency and non-tampering characteristics, can provide higher security, transparency and privacy to big data. So, what are the effects of blockchain in big data?
1. Improving data quality
The essence of blockchain is to remove Centralized distributed ledger. It can also be understood as an tamper-proof, fully historical, distributed database storage technology. Therefore, blockchain technology can liberate more data. The trustworthiness, security, and non-tamperability of blockchain technology fundamentally bring about the improvement of data quality and the enhancement of data verification capabilities.
2. Dealing with the data island problem
Big data has a very serious data island problem, and a lot of data is currently inaccessible. Blockchain is expected to solve this problem. The reason why I say this is mainly because the blockchain is not only a distributed ledger, but also has the characteristics of decentralization and openness. As the maintainers of order in the financial market, regulatory organizations can also predict and analyze possible dangerous problems through the data chain in the blockchain.
3. Dealing with data leakage issues
In essence, the blockchain is actually a decentralized database. Therefore, if data from a certain node in the blockchain is If there is a change, other nodes will discover it as soon as possible, so the possibility of data leakage will be greatly reduced. Only in the form of a private key can the identity information of each node in the blockchain be successfully obtained, and only the data owner can know the private key.
4. Blockchain can protect the relevant rights and interests of data
As for the valuable data assets of individuals or organizations, they can be registered using the blockchain, and the transaction records are recorded on the entire network. Recognized, transparent and traceable. Clarifying the source, ownership, use rights and circulation path of big data assets is of great value to the sale and purchase of data assets.
5. DistrictTraceability of the blockchain
Every step of the data collection, transaction, circulation, and accounting analysis can be recorded on the blockchain, thus giving the data quality an unprecedented strong trust endorsement. At the same time, it also ensures the accuracy of data analysis results and the effectiveness of data mining.
The above is all the content that the editor has compiled and sent to you today on "What is the role of blockchain in big data?" I hope it will be helpful to everyone. As the saying goes, there is no battle without preparation. Generally speaking, with the application of big data in many industries, engineers and developers with the ability to work in big data technology are very popular.
㈥ Big Data and Blockchain
This story still has to start with Bitcoin
Bitcoin, an electronic cash system, is simultaneously disintermediated ( Electronic cash between individuals does not require the intervention of a trusted third-party intermediary) and is decentralized (maintained by an institution) (both parties to the transaction can complete transactions without establishing a trust relationship)
< br /> Hash function: Convert an arbitrarily long string into a fixed-length output (the calculation process cannot be too complicated). As long as the input string changes slightly, the output of the hash function will be completely different.
Blockchain: Divide large things into many blocks for storage. As long as one thing is tampered with, the data below will be different and it will be discovered
Uses blockchain (data structure hash function) to ensure that the ledger cannot be tampered with, uses digital signature technology to ensure that only you can use your own account, and uses p2p network and POW consensus mechanism to ensure decentralized operation.
Blockchain is a method that uses block chain data structures to verify and store data, uses distributed node consensus algorithms to generate and update data, and uses cryptography to ensure data transmission and access security. A new distributed infrastructure and computer paradigm.
Three elements:
The essence of blockchain is a distributed ledger, a kind of database. The blockchain uses a hash algorithm to ensure that information cannot be tampered with, uses public keys and private keys to identify identities, and collectively maintains a reliable database in a decentralized and disintermediated manner.
The differences between big data and blockchain are mainly reflected in the following aspects.
(1) Data volume. Blockchain technology is a new application model of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithms. The amount of data processed by the blockchain is small and has a meticulous processing method. Big data manages massive amounts of data, which requires breadth and quantity, and the processing methods will be rougher.
(2) Structured and unstructured. Blockchain is a block with a rigorously defined structure. The chain composed of pointers is a typical structured data.Big data needs to process more unstructured data.
(3) Independence and integration. In order to ensure security, the blockchain system's information is relatively independent, while the focus of big data is the integrated analysis of information.
(4) Direct and indirect. Blockchain is a distributed ledger, which is essentially a database, while big data refers to in-depth analysis and mining of data, which is a kind of indirect data.
(5)CAP theory. C (Consistency) means consistency, which means that any read operation can always read the result of the previously completed write operation. That is, in a distributed environment, data at multiple points is consistent. A (Availability) refers to availability, which refers to obtaining data quickly and returning operation results within a certain time. P (Tolerance of Network Partition) is partition tolerance, which means that when a network partition occurs (that is, some nodes in the system cannot communicate with other nodes), the separated system can still operate normally. CAP theory tells us that a distributed system cannot meet the three requirements of consistency, availability, and partition tolerance at the same time. It can only meet two of them at the same time. As the saying goes, "You can't have your cake and eat it too." Big data usually chooses to implement AP, and blockchain chooses to implement CP.
(6) Basic network. The underlying infrastructure of big data is usually a computer cluster, while the infrastructure of the blockchain is usually a P2P network.
(7) Source of value. For big data, data is information, and value needs to be extracted from the data. For blockchain, data is an asset and the inheritance of value.
(8) Calculation mode. In the big data scenario, one thing is assigned to multiple people. For example, in the MapRece computing framework, a large task will be decomposed into many subtasks and assigned to many nodes for calculation at the same time. In the blockchain scenario, multiple people are allowed to do one thing repeatedly. For example, many nodes in the P2P network record a transaction at the same time.
㈦ What is the relationship between blockchain and big data storage
The relationship between blockchain and big data storage is as follows:
1. Data security: blockchain Let data flow with real confidence
Blockchain, with its trustworthiness, security and non-tamperability, allows more data to be liberated. Let’s use a typical case to illustrate how blockchain promotes the generation of gene sequencing big data. Blockchain sequencing can use private keys to limit access rights, thereby circumventing legal restrictions on individuals' access to genetic data, and utilize distributed computing resources to complete sequencing services at low cost. The security of blockchain makes sequencing an industrialized solution, enabling global-scale sequencing and thus promoting the massive amount of data.increase.
2. Data openness and sharing: Blockchain ensures data privacy
The government holds a large amount of high-density and high-value data, such as medical data, population data, etc. The openness of government data is a general trend and will have an immeasurable impetus to the development of the entire economy and society. However, the main difficulty and challenge in data openness is how to open data while protecting personal privacy. Blockchain-based data desensitization technology can ensure data privacy and provides a solution for data openness under privacy protection. Data desensitization technology mainly uses encryption algorithms such as hashing. For example, the Enigma system based on blockchain technology can calculate data without accessing the original data, which can protect the privacy of data and eliminate information security issues in data sharing. For example, company employees can safely open access to their salary information and jointly calculate the average salary within the group. Each participant is informed of his relative position within the group but not of the compensation of other members.
Data HASH desensitization processing diagram
3. Data storage: Blockchain is an immutable, full-historical, strongly endorsed database storage technology
Blockchain technology, through the network All nodes in the network participate in calculations and mutually verify the authenticity of their information to reach a consensus across the entire 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. Trusted blockchain data based on the consensus of the entire network is non-tamperable and full of history, which also enables the quality of the data to gain unprecedented strong trust endorsement. It also brings the development of database into a new era.
4. Data analysis: Blockchain ensures data security
Data analysis is the core of realizing data value. When conducting data analysis, how to effectively protect personal privacy and prevent core data leakage has become the primary consideration. For example, with the popularization of fingerprint data analysis applications and genetic data detection and analysis methods, more and more people are worried that once personal health data is leaked, it may lead to serious consequences. Blockchain technology can prevent such situations through multi-signature private keys, encryption technology, and secure multi-party computing technology. When the data is hashed and placed on the blockchain, digital signature technology is used to allow only authorized people to access the data. The private key ensures data privacy and can be shared with authorized research institutions. The data is uniformly stored on the decentralized blockchain, and data analysis can be performed without accessing the original data. This can not only protect the privacy of the data, but also safely provide it to global scientific research institutions and doctors for sharing. The basic health database will bring great convenience to solve sudden and difficult diseases in the future.
5. Data circulation: Blockchain protects data-related rights and interests
For individuals or institutions’ valuable data assets, blockchain can be used to register them, and transaction records are recognized and transparent by the entire network. , traceable, clear big data informationThe source, ownership, right of use and circulation path of assets are of great value to data asset transactions.
On the one hand, blockchain can eliminate the threat of intermediaries copying data and help establish a trustworthy data asset trading environment. Data is a very special commodity, which is essentially different from ordinary commodities. It mainly has characteristics such as unclear ownership and "it is owned after seeing it and copying it". This also determines that the transaction method using traditional commodity intermediaries cannot meet the needs of data. Share, exchange and trade. Because the intermediary center has the conditions and ability to copy and save all the data flowing through it, this is extremely unfair to the data producers. This threat cannot be eliminated by relying on promises alone, and the existence of this threat has also become a huge obstacle to the flow of data. Based on decentralized blockchain, it can eliminate the threat of data copying by intermediary centers and protect the legitimate rights and interests of data owners.
On the other hand, blockchain provides a traceable path and can effectively solve the problem of data verification. The blockchain jointly participates in the calculation and recording of data through multiple nodes participating in calculations in the network, and mutually verifies the validity of their information. It can not only prevent information counterfeiting, but also provide a traceable path. By stringing together the transaction information of each block, a complete list of transaction details is formed. The ins and outs of each transaction are very clear and transparent. In addition, when people have questions about the "value" of a certain block, they can easily review historical transaction records to determine whether the value is correct, and identify whether the value has been tampered with or recorded incorrectly.
Everything is guaranteed on the blockchain, and big data will naturally become more active.
The tokens of crowdfunding projects on the Biying China platform are all developed based on blockchain technology, and relevant information will be recorded on the blockchain.
㈧ What is the relationship between blockchain and big data?
Blockchain and big data are both hot topics. Many people discuss them together and hope to conflict with more hot
points. Big data has become a huge industry long before the development of blockchain. Although blockchain is in the early stages of the
industry, many technologies and business models are still being explored.
In view of the relative maturity of the big data industry, we use big data as a starting point to study how blockchain technology interfaces with all aspects of the big data
industry.
The big data core industry chain can be roughly divided into the following three parts:
Product part: Including big data software product-related industries such as big data basic software and big data application software.
Data part: including data sources (data collection, data provision), data circulation (data transactions, data sharing
) and other industries directly related to data.
Services: and big data infrastructure services (data storage,Data transmission, data cleaning, data desensitization
, etc.), big data analysis services and big data application services related services.
01 Product Section
The combination of software products and blockchain should be based on technology. Big data technology and blockchain technology have similarities: they
are distributed architectures.
But they also have obvious differences: the use of distributed technology in big data technology is computing resources - utilizing the computing resources of multiple
machines and will not be used by a single machine Processing tasks are distributed among multiple computers, each
machine. By processing different tasks, it integrates multiple computing resources to form powerful data processing capabilities.
Using distributed technology in blockchain allows multiple entities to trust each other. Each mainframe participates in the operation of the entire blockchain through the computers it controls
. Each computer runs basically the same task, and the entire blockchain
can achieve mutual trust between multiple entities through repeated redundant calculations.
From a technical perspective, big data technology uses trust to exchange computing resources, while blockchain technology uses computing resources to exchange trust. Due to the differences between the two, it is technically difficult to find a suitable collision point between big data and blockchain.
02 Data Part
In the various formats of the data part, the blockchain can find its place.
The chain is of little significance. However, if multiple entities are involved in data collection and data provision, blockchain can
come into its own.
In order to solve the trust problem between multiple entities, each entity broadcasts its own collected data to all consumers
and the hash of that data Values are stored in the blockchain. Based on the hash value on the blockchain, each subject in the blockchain
can verify whether the complete data it received has been tampered with. Blockchain traceability and non-repudiation
make data provided by multiple parties more credible. At the same time, this method also helps maintain the integrity of big data
.
In the data circulation industry, blockchain can play a greater role. In the big data circulation industry, big data itself
is a digital asset. The transaction of digital assets can be realized through the blockchain. thisIn addition, decentralized big data transactions implemented on the blockchain can reduce original data connections. In a decentralized trading platform, only buyers and sellers
can access the original data; on a centralized trading platform, the data intermediary serving as the trading center usually has access to the original
data. This increases data leakage and assets. Risk of Loss.
03 Service Part
In big data services, the service capabilities as digital assets are the same as the concepts of data and assets in data transactions
and Can be traded.
Blockchain can play an important role in the trading of such digital assets. At the same time, there are many new technologies that are constantly changing the blockchain, such as homomorphic encryption. Homomorphic encryption is an important technology that combines blockchain and big data services
. Homomorphic encryption can truly transform data service functions into digital assets without requiring the big data service provider to copy the original data in the service. risk.
㈨ What is blockchain technology and what areas it may be used for in the future
1. Data blockchain is an important concept in the Bitcoin financial system, recording the entire Bitcoin network Transaction record data, and these data are shared by all Bitcoin nodes. Through data blocks, we can query the history of each Bitcoin transaction.
2. Example:
There are three persons A, B and C. All the funds of A and B are kept by C. And every financial transaction must be recorded by C. Now assume that A and B each have 1 million in custody of C. Then:
A spends 80,000 yuan to B, then C’s account book record will subtract 80,000 yuan from A’s name, and add 80,000 yuan to B’s name.
B transfers 50,000 yuan to A, then C will add 50,000 yuan to A's name in the account book record, and subtract 50,000 yuan to B's name.
A spends 50,000 yuan to B, then C’s account book record will subtract 50,000 yuan from A’s name, and add 50,000 yuan to B’s name.
3. The role of the data blockchain is similar to that of C’s account record book. It records the user’s ownership of Bitcoin and the records of all users’ Bitcoin transactions. It’s just that this “account record book” is recorded by the mining software of every Bitcoin miner on the network. If a Bitcoin transaction is confirmed by the data blockchain, the relevant information will be recorded in the data blockchain. Bitcoin’s “account record book” is called the data blockchain. All data blockchains on the network form Bitcoin’s distributed network database system.
4. The essence of data blockchain technology is a decentralized and distributed structure of data storage, transmission and certification methods. It uses data blocks to replace the current Internet centerThe dependence on the server enables all data changes or transaction items to be recorded on a cloud system, which theoretically achieves self-certification of data during data transmission. In a far-reaching sense, this goes beyond the traditional and conventional need to rely on central information. The verification paradigm reduces the cost of establishing global "credit". This point-to-point verification will produce a "basic protocol", which is a new form of distributed artificial intelligence and will establish a new interface and interface between human brain intelligence and machine intelligence. Sharing interface.