区块链和数据库的结合是什么,区块链和数据库的结合方式

区块链和数据库的结合是一种新兴的技术，它是将区块链技术和传统数据库技术结合起来，以获得更多的优势。在本文中，我们将讨论三个与区块链和数据库结合相关的关键词，分别是：去中心化，可靠性和安全性。

去中心化是指将数据和服务从中心化的单一系统中分离出来，以使它们可以在多个网络节点上独立运行。通过将数据和服务分散到多个节点，系统的可靠性得到提高，而且不会受到单一系统的故障的影响。区块链技术可以帮助实现去中心化，因为它使用分布式账本技术，可以将数据和服务分散到多个节点，从而提高系统的可靠性。

可靠性是指系统的可靠性，即系统能够按照预期的方式正常运行。区块链和数据库的结合可以提高系统的可靠性，因为它使用分布式账本技术，可以将数据和服务分散到多个节点，从而提高系统的可靠性。此外，区块链技术还可以提供更强大的数据完整性保护，从而更好地保护数据的完整性和可靠性。

安全性是指系统的安全性，即系统能够防止未经授权的访问和操作。区块链技术可以提供更强大的数据安全性，因为它使用分布式账本技术，可以将数据和服务分散到多个节点，从而提高系统的安全性。此外，区块链技术还可以提供强大的数据加密技术，从而更好地保护数据的安全性。

总之，区块链和数据库的结合是一种新兴的技术，它可以帮助企业提高系统的可靠性和安全性，同时也可以实现去中心化。未来，区块链和数据库的结合将成为一种重要的技术，可以帮助企业更好地实现数据和服务的可靠性、安全性和去中心化。

① What is the relationship between SEC blockchain and big data?

1. SEC social e-commerce chain uses blockchain technology to use big data to greatly reduce credit costs
2. SEC social e-commerce chain uses blockchain technology to build the cornerstone of trust in the big data era
SEC social e-commerce chain is based on the "trustless, non-tamperable" characteristics of blockchain technology, which can greatly reduce Credit cost to achieve safe storage of big data. Putting data on the blockchain can liberate more data, allowing the data to truly "circulate". A database application platform based on blockchain technology can not only ensure the authenticity, security and credibility of data.

② Blockchain distributed storage: a new storage model for ecological big data

Blockchain is undoubtedly the most beautiful word in 2019. It shines in the field of technology and in the physical world. The industry is star-studded.

The 1024 speech in 2019 gave the word blockchain a new look. In the past, it was always associated with pyramid schemes and fraud, and the word "blockchain" was always cast in a layer of gray. But now, blockchain is closely connected with the integration of the real economy and has become a strategic technology for the country. The word instantly shines with passionate red and vibrant green.

"Industrial blockchain" came into being in the context of this era. It is another hot word after "Internet". The core is that blockchain must be integrated with real industries and move away from virtuality to reality. , it is the right way to let blockchain technology find more business scenarios.

The essence of the blockchain is a database, and it uses a distributed storage method. As a blockchain practitioner, today I will talk about the sparks generated by the collision of distributed storage of blockchain and ecological big data.

Most of the current storage is centralized storage, which is stored on traditional centralized servers. If the server goes down or malfunctions, or if the server ceases operations, a lot of data will be lost.

For example, the pictures we post in WeChat Moments, the videos uploaded on Douyin, etc. are all centralized storage. Many friends will store things on the Internet, but when they open it one day, the web page will display 404, which means that the stored things have disappeared.

Blockchain, as a distributed database, can solve this problem very well. This is determined by the technical characteristics of the blockchain. Digital records on the blockchain cannot be tampered with or forged. Smart contracts allow everyone to collaborate more efficiently to establish a credible digital economic order, which can improve the efficiency of data flow, break down data silos, and create a new storage model.

Ecological big data is actually closely related to our daily lives, such as daily weather forecasts, traceability data of agricultural products we eat, etc., which are all part of ecological big data. To talk about this combination, first let’s take a look at ecological big dataStorage features.

With the development of the Internet, currently, ecological big data has the following characteristics in terms of storage:

From the perspective of data scale, the volume of ecological data It’s huge, and data has jumped from the TB level to the PB level.

With the development of various sensor technologies, satellite remote sensing, radar and video sensing technologies, data not only comes from traditional manual monitoring data, but also includes aviation, aerospace and ground data. Together, they have generated a massive amount of ecological data. environmental data. In the past 10 years, ecological data has grown by hundreds of terabytes every year.

Ecological environment big data requires a combination of dynamic new data and historical data for processing, and real-time continuous observation is particularly important. Only by processing and analyzing these dynamic new data in real time and combining them with existing historical data can we unearth useful information and provide scientific decisions for solving ecological and environmental problems.

For example, in the current urban construction, the ecological environment restoration and ecological model construction advocated require a large amount of ecological big data to be used for analysis, modeling and plan formulation. However, currently a lot of historical data disappears due to improper storage, resulting in the loss of data value.

Since ecological big data has these characteristics, what are its storage requirements?

Currently, ecological big data is facing serious security risks, and strong secure storage is imperative for ecological big data.

The security of big data mainly includes the security of big data itself and the security of big data technology. For example, in the data storage of big data, data information leakage occurs due to external network attacks by hackers and improper human operations. External attacks include data transmission attacks on static and dynamic data, data content attacks, data management and cyber-physical attacks.

For example, many massive data for wild ecological environment monitoring require network transmission, which increases the risk of cyber attacks. If it involves some ecological and environmental data used by the military, if these data are obtained by hackers, they may infer some information about our military or obtain sensitive ecological and environmental data, with disastrous consequences.

The commercial application of ecological big data requires the integration of data from multiple sources of society such as governments, enterprises, and scientific research institutes. Only when different types of ecological environment big data are connected, collided and shared can the value of ecological environment big data be released.

Taking the current smart city construction as an example, many cities are establishing agricultural information big data centers on intellectual property, germplasm resources, agricultural materials, agricultural products, pests and diseases in all aspects and dimensions to provide agricultural products with Supply and marketing provide full information services. The construction of such a big data center is inseparable from the sharing of ecological big data among various departments.

However, ecological big data sharing faces huge challenges. First of all, my country’s ecological environmentEnvironmental big data includes big data from meteorology, water conservancy, ecology, land, agriculture, forestry, transportation, social economy and other departments, involving multi-field, multi-sector and multi-source data. Although these departments have established their own data platforms, these platforms are not connected to each other and are just isolated data islands.

Secondly, the relevant departments cannot share the data because they are unable to track the trajectory of the data and are worried about the ownership of the data’s interests. Therefore, in order to explore the potential value hidden behind ecological big data, achieving secure data sharing is the key, and it is also the premise and basis for the value of ecological big data.

Ecological big data is hard-won and is the collective wisdom of research institutes, enterprises, individuals and other social sources.

Among them, many ecological big data involve the protection of intellectual property rights. However, the current centralized storage cannot guarantee the protection of intellectual property rights and cannot perform traceability management of data use, which can easily lead to the infringement of intellectual property rights and the leakage of private data.

These are the storage needs of ecological big data. Today, with the rapid development of industrial blockchain, the distributed storage of blockchain can provide a new storage method for ecological big data storage. This core premise is the distributed storage, non-tampering and data tracking characteristics of the blockchain.

Using blockchain as the underlying technology, build such a platform to specifically store ecological big data. You can set up node management, storage management, user management, license management, business channel management, etc. Implementation of the underlying services of the blockchain network that provides high availability and dynamic expansion for upper-layer business applications. In the application layer of this platform, API interfaces can be built to make the use of the entire platform flexible and scalable. Blockchain distributed storage has the following characteristics:

Utilizing the distributed storage of blockchain can achieve truly secure storage of ecological big data.

First, data is never lost. This is particularly friendly to the historical data of ecological big data, making it convenient to call and compare new and old data.

Secondly, data is not easily leaked or attacked. Because the data is stored in a distributed manner, if there is an attack, only the data fragments stored in some nodes can be obtained, and the complete data information or data segments cannot be completely obtained.

Blockchain can realize the storage and confirmation of ecological data, so as to avoid the infringement of intellectual property rights and achieve safe sharing. After all, the acquisition of ecological big data requires ecological workers to be stationed in the wild all year round to extract data.

Ecological big data is hard-won and is the hard work of many ecological workers. It needs to be protected by property rights, so that the data can reflect its application value and commercial value, and the work motivation of ecological workers can be protected. They can go deep into the front line and collect more high-quality big data.

At the same time, the use of blockchain's data security sharing mechanism can also break down data barriers in meteorology, forestry, wetland and other departments, and build a safe and reliable data sharing mechanism to make data flow more valuable.

Nowadays, some ecological workers will tamper with ecological data for personal gain. If you use blockchain technology, it is not so easy.

Using encryption technology, the stored data is placed on a distributed storage platform for encryption processing. If the ecological big data changes, the platform can record its different versions to facilitate subsequent tracing and verification.

This protection mechanism mainly takes advantage of the non-tamperability of data to meet the requirements for data security in various business processes that use ecological big data.

The blockchain can provide secure monitoring of data, record the operation logs of the application system and the operation log data of the database, encrypt and store them on the system, provide log warning functions, and browse abnormal situations through the blockchain The device is displayed to facilitate timely detection of illegal operations and the provision of evidence.

The above is the role that distributed storage of blockchain can play in ecological big data. In the future, there will definitely be many platforms for ecological big data storage.

Ecological big data is an important basic data for the construction of smart cities. Using blockchain technology to create a relevant ecological big data storage and management platform can ensure the safe storage and effective sharing of ecological big data and provide wisdom for the future. Contribute to urban construction and promote the development of industrial blockchain.

Author: Justina, WeChat public account: Miaoyishenghua, engaged in blockchain operations, good at content operations and overseas media operations.

The title picture comes from Unsplash, based on the CC0 agreement.

③ Big Data and Blockchain

This story still starts 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 and the data below are different, it will be discovered

Use blockchain (data structure hash function) to ensure that the ledger cannot be tampered with, use digital signature technology to ensure that only you can use your own account, use p2p network and POW consensus mechanism,Ensure decentralized operation

Blockchain uses block chain data structure to verify and store data, uses distributed node consensus algorithm to generate and update data, and uses cryptography to ensure data A new distributed infrastructure and computer paradigm for transmission and access security.

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, while 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 informationInformation needs to be extracted from data to obtain value. 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.

④ What are the roles of blockchain in big data

1. Improving data quality

The essence of blockchain is a Decentralized 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 the blockchain If the data of a certain node in the chain changes, 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 data-related rights and interests

As for the valuable data assets of individuals or organizations, blockchain can be used to protect them. After registration, the transaction records are recognized by the entire network, 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. Traceability of blockchain

Every step of data collection, transaction, circulation, and accounting analysis can be recorded. On the blockchain, data quality has gained unprecedented strong trust endorsement. At the same time, it also ensures the accuracy of data analysis results and the effectiveness of data mining.

As for the role of blockchain in big data, the editor of Qingteng will share it with you here. If you have a strong interest in big data engineering, I hope this article canEnough to help you. If you want to know more about the skills and materials of data analysts and big data engineers, you can click on other articles on this site to learn.

⑤ How to correctly understand the database in blockchain technology

It can be said that there is no real database in the blockchain, but "transactions", the transactions of each node Records are stored in the ecosystem, forming a "transaction consensus record".
In the past, database transactions were not stored in the database, but the data in today's blockchain are all "transactions", which are records that cannot be changed or tampered with. The data that each node can see is the same. Then through some algorithms, these data are called out through the program when used.

⑥ What is the relationship between blockchain and big data?

Big data can be placed on the word data, which is generated by various social activities. The blockchain is an underlying technology, just like the Internet. However, it regards the Internet as its bottom layer and builds a blockchain network on the bottom layer of the Internet. Many people also call it the "Internet of Value."
As for the connection, big data can be combined with blockchain technology. For example, blockchain has traceability features. When a big data package is traded on the blockchain network, it can be seen on the entire network. flow direction. Ability to confirm and track this data package

⑦ 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: related to big data infrastructure services (data storage, data transmission, data cleaning, data desensitization

, etc.), big data analysis services and big data application services services.

01 Product Section

Software products and areasThe combination of 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. Additionally,

decentralized big data transactions implemented on the blockchain can reduce raw data connections. In a decentralized trading platform, only buyers and sellers

have access to the original data; in a centralized trading platform, as a transactionCentral data intermediaries often have access to raw

data, which 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.

⑧ Can blockchain distributed database be practically used in corporate accounting information systems? Why

Blockchain distributed database,
Can it be used in corporate accounting information systems? practical application.
Blockchain distributed database is like a public ledger,

It should naturally be able to record corporate accounting information.
Any information that needs to be saved can be written to the blockchain,
and can also be read from it,
so it is a database.
A shared, distributed database technology,
an intelligent peer-to-peer network that can identify, disseminate and record information through distributed databases.

⑨ What are the practical applications in the blockchain 1.0 era?

The development of blockchain 1.0 is closely related to digital currency, and its applications are generally concentrated in currency transfer, exchange and payment. In a sense, blockchain technology during this period found a solution to the decentralization of currency and payments.

Currency and payment constitute the most significant applications in the blockchain 1.0 era. A series of virtual currencies represented by Bitcoin have emerged, such as Litecoin, Dogecoin, Ripple, Futurecoin, and Peercoin. Etc., thousands of digital currencies have been produced around the world, and there are about 700 types still in operation. These "alternative currencies" act as "cash" on the Internet, opening up another world in the financial field. In the application scenario of virtual currency, individuals can use a decentralized, distributed and global way to allocate and trade various resources.

The blockchain during this period has set off a huge wave in the financial field. In areas related to transfers, remittances and digital payments, blockchain technology has attracted much attention. In these fields, the traditional method requires tedious processing processes such as the account opening bank, counterparty bank, clearing organization, overseas bank (agent bank or overseas branch) through central institutions such as banks, which takes a long time and is costly. After applying blockchain technology, payment can achieve end-to-end transactions.Easy, eliminating the tedious intermediary processing links, not only fast, but also very low transaction costs. Especially in terms of cross-border payments, the blockchain-based payment system can provide users with global cross-border, real-time payment and clearing services in any currency. Cross-border payments will be completed instantly at a low cost.

The Xueshuo Innovation Blockchain Technology Workstation under Lianqiao Education Online is the only "Smart Learning Factory 2020- Xueshuo Innovation Workstation" launched by the School Planning and Construction Development Center of the Ministry of Education of China. Approved "Blockchain Technology Professional" pilot workstation. The professional position is based on providing students with diversified growth paths, promoting the reform of the training model integrating professional degree research, production, and research, and building an applied and compound talent training system.

⑩ What is the relationship between blockchain and big data?

Blockchain and big data are both hot topics, and the development of big data precedes blockchain. , has now become a huge industry, and combining the developing blockchain technology with big data will produce different effects. From a technical perspective, big data technology exchanges trust for computing resources, while blockchain technology exchanges computing resources for trust, so the combination of the two has set off a new wave of information security. Based on the characteristics of blockchain distributed data storage, decentralization, non-tampering, traceability, and trustworthiness, Chongqing Jinwowo Network Technology Group has established a strong blockchain research team to professionally provide blockchain as the underlying technology. big data services.