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⑴ Big Data and Blockchain

This story still starts with Bitcoin

Bitcoin, an electronic cash system, simultaneously deintermediates (electronic cash between individuals does not require the intervention of a trusted third-party intermediary) and decentralized (maintained by an institution) (both parties to the transaction can complete the transaction without establishing a trust relationship)

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

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 computing 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, 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) is consistency, which refers to anyRead operations can always read the results of previously completed write operations, 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.

⑵ Do artificial intelligence, big data, cloud computing, Internet of Things, and blockchain exist independently?

They are not independent entities. Artificial intelligence, big data, cloud computing, the Internet of Things and blockchain are all important development directions in the field of modern information technology, and they are interrelated and mutually reinforcing. Big data provides rich data resources and analysis methods for artificial intelligence, cloud computing and the Internet of Things. The combination of the Internet of Things with cloud computing, artificial intelligence and other technologies can also bring more application scenarios to the industry. Blockchain can provide a more secure and reliable data exchange and management method for the Internet of Things, big data and other fields. These technologies are interdependent and mutually supportive, and their development will have a profound impact on the future development of the entire information technology field.

⑶ Which of the technologies used by blockchain does not include?

The technologies used by blockchain do not include big data

In fact, before the emergence of blockchain, distributed P2P peer-to-peer network was already a very mature technology.

2. Encryption technology

In terms of encryption technology, blockchain uses an asymmetric encryption algorithm.

3. Smart Contract

The term “smart contract” isIt was first proposed by law scholar Nick Szabo in 1995.

4. Consensus Mechanism

In the past, we paid an extremely expensive price for trust, and blockchain will incredibly change this situation.

Blockchain is revolutionizing various ways to pay for e-commerce:

1. Faster payment processing

2. Easily process receipts and warranty vouchers< /p>

3. Self-executing smart contracts

4. Reduce handling fees

5. Prevent network attacks

⑷ Blockchain and Big Data What does data have to do with it

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

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 is controlled by itself

computers participate in the operation of the entire blockchain. 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; 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 trulyData service functions are converted into digital assets without requiring the big data service provider to copy the original data in the service. risk.

⑸ What is the relationship between blockchain technology and big data

Chongqing Jinwowo analyzes the relationship between blockchain technology and big data as follows:
Blockchain and big data are not closely related. Big data is mainly about managing massive amounts of data, while the core of blockchain is to achieve high security and reliability of data without centralized intermediaries.
So blockchain and big data do not conflict with each other, nor will they replace each other. They are completely different solutions for data in different scenarios.

⑹ Are big data and blockchain the same thing?

Not the same thing
Big data refers to the technical difficulties caused by excessive data volume, mainly 4V, large amount of data, fast data generation, diverse data formats, and low data value
There are many technical problems that need to be solved
Blockchain is a term in the field of information technology. In essence, it is a shared database, and the data or information stored in it has the characteristics of "unforgeable", "full traces left", "traceable", "open and transparent" and "collectively maintained".