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Ⅰ 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 Respond to the challenge. 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. Traceability of blockchain

Every step of data collection, transaction, circulation, and accounting analysis can be recorded on the blockchain, thus making Data quality has received 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 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, you won’t fight an unprepared battle if you don’t do it. Generally speaking, with the application of big data in many industries, engineers and developers with big data technology capabilities are very popular.

Ⅱ What is the Internet of Things, what is blockchain, and what is big data

The development of blockchain to this day has extended from the initial financial transactions to all transactions that require middlemen for guarantees orCertified application projects, such as house transactions, car sales, etc., can even integrate blockchain technology with other application services through API connection, thereby accelerating the production of various innovative applications, and even helping to accelerate Promote the development of IoT applications.

The earliest application of blockchain is Bitcoin. Blockchain is a series of data blocks generated using cryptographic methods. It is like a database ledger, and the ledger also contains data from Bitcoin. All transaction records since then include multiple block records. Each block corresponds to a part of the transaction and records the hash value of the previous block, forming a chain-like data structure.

Many experts believe that the emergence of blockchain technology solves the missing link in the security, privacy and reliability issues of the Internet of Things. It can be used to track billions of interconnected devices, facilitate transactions and collaborative processing between devices, and save a lot of costs for the IoT industry. This decentralized approach will eliminate single points of failure and create a more reliable of devices running the ecosystem. At the same time, the encryption algorithm used in the blockchain can also bring higher privacy to consumer data.

The advantage of the blockchain is that it is public, and every network participant can see the blocks and the transaction information stored in them. However, this does not mean that everyone can see your actual transaction content, which is protected by your private key.

Blockchain is decentralized. There is therefore no single authority that can approve transactions or set special rules for the receipt of transactions. This means that there is a huge amount of trust between participants, so all network participants must reach a consensus to receive transactions.

The more important point is that the blockchain is very secure. This kind of data can only be continuously expanded, and previous records cannot be changed. And the ledger used by the blockchain is tamper-proof and cannot be manipulated by criminals. This ledger is not located in a specific location and cannot be attacked on middlemen because no single communication thread can be intercepted. .

Blockchain can be applied to the Internet of Things to ensure information security. For example, manufacturers of equipment and instruments can use blockchain technology to trace back the manufacturer, production date, manufacturing batch number and even the manufacturer of each component. Other information about the manufacturing process to ensure the transparency and plasticity of the entire machine production process, effectively improve the availability of the overall system and components, and thereby ensure the safety of the operation of equipment and instruments.

The unique consensus mechanism of the blockchain connects various devices through a point-to-point method, rather than through a central processor. Each device maintains consensus and does not require central verification, thus ensuring When a node has a problem, it will not affect the overall data security of the network.

Now, as blockchain technology continues to develop and heat up, Shenzhen Beihang Internet of Things Research Institute (www.buaaiot.org) believes that it will also change and integrate into various fields in its own unique way. industry. The birth of blockchain technology, making various algorithms more efficient. Its decentralized principle and distributed computing rules allow everything to be connected and calculated in seconds, and prevent hackers from attacking data. All kinds of assets can be registered, traded and traded on the block. Data can never be tampered with or reversed. This intangible charm allows various assets to gather on the block.

III 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.

IV Is the application of blockchain technology to big data safe?

The answer to this question is yes, because a big feature of blockchain technology is that information cannot be tampered with , once the information is verified and added to the blockchain, it will be stored permanently. Unless more than 51% of the nodes in the system can be controlled at the same time, modifications to the database on a single node are invalid, so the data in the blockchain Extremely high stability and reliability. For example, Jinwowo Group can provide big data services with blockchain as the underlying technology. Its encryption technology can fundamentally ensure the security and storage of data.

IV What positive effects does blockchain technology and big data have on modern society

As two major trends in the current development of the Internet, blockchain and big data are not only beneficial to enterprises. It has a strong driving force for development and has a great positive effect on reshaping the integrity system of society.

Through blockchain, Jinwowo Group believes that blockchain can not only trace the source of every product on the platform and ensure product quality, but also record the true behavior of every user on the platform. Strengthen the integrity constraints of online behavior; moreover, through the characteristics of the blockchain itself, these behavioral data can be used reasonably and legally.

VI What is blockchain and what is big data

1. Blockchain: It is a new type of computer technology such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. Application mode. The so-called consensus mechanism is a mathematical algorithm that establishes trust and obtains rights and interests between different nodes in the blockchain system.

Blockchain is an important concept of Bitcoin. The currency jointly released the "2014-2016 Global Bitcoin" by the Internet Finance Laboratory of Tsinghua University PBC School of Finance and Sina Technology. "Coin Development Research Report" mentioned that blockchain is the underlying technology and infrastructure of Bitcoin [2]. It is essentially a decentralized database and serves as the underlying technology of Bitcoin. The blockchain is a series of data blocks generated using cryptographic methods. Each data block contains a Bitcoin network transaction.The information is used to verify the validity of its information (anti-counterfeiting) and generate the next block.

2. Big data: refers to a collection of data that cannot be captured, managed and processed within a certain time range using conventional software tools. It requires new processing models to have stronger capabilities. Massive, high-growth and diversified information assets with decision-making power, insight discovery and process optimization capabilities.