What is blockchain Internet of things big data

1.

1. blockchain: it is a new application mode of distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and other computer technologies. The so-called consensus mechanism is a mathematical algorithm to establish trust and obtain interests between different nodes in the blockchain system

blockchain is an important concept of bitcoin. According to the 2014-2016 global bitcoin Development Research Report issued by the Internet Finance Laboratory of Wukou School of finance, Tsinghua University and Sina Technology, blockchain is the underlying technology and infrastructure of bitcoin [2]. In essence, it is a decentralized database, as well as the underlying technology of bitcoin. Blockchain is a series of data blocks generated by cryptography. Each data block contains the information of a bitcoin network transaction, which is used to verify the validity of the information (anti-counterfeiting) and generate the next block

2. Big data: refers to the data set that cannot be captured, managed and processed by conventional software tools within a certain period of time. It is a massive, high growth rate and diversified information asset that needs new processing mode to have stronger decision-making power, insight and discovery power and process optimization ability

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.

3. Chongqing jinwowo analysis: with its trustworthiness, security and non tamperability, blockchain liberates more data and promotes the massive growth of data.

4. Blockchain and big data are hot topics. The development of big data is earlier than that of blockchain. At present, it has become a huge instry. The combination of developing blockchain technology and big data will bring about different effects. From a technical point of view, big data technology exchanges computing resources with trust, while blockchain technology exchanges computing resources with trust, so the combination of the two sets 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 provide big data services with blockchain as the underlying technology.

5.

1. What is the Internet of things

in fact, in a simple way, big data is to assist decision-making by analyzing and mining a full amount of non sampling data

the characteristics of big data

big data refers to the massive, high growth rate and diversified information capital that needs new data processing mode to collect, store, manage and analyze its content for the purpose of serving decision-making

big data has the following essential characteristics:

1. The fundamental purpose is to serve decision-making. Big data can help all kinds of organizations and indivials greatly improve their decision-making ability and make better decisions and judgments

Big data usually refers to the amount of data above 100t, which is difficult to be calculated effectively by traditional calculation methods, but must rely on new calculation methods and data mining tools

3. High frequency, big data is the data generated by user participation and interaction, according to the user's network traces to timely understand the user's relevant data, this kind of data is high-frequency data calculated by day or even hour. But the traditional data frequency is very low, many data are calculated by month or even by year

Big data is real-time data and can react in real time. For example, entering a keyword in the web search box can instantly present it, while the traditional data collection method is seriously lagging behind

5. Always online. Online is the precondition of big data. From this point of view, big data is always online and can be called at any time. By analyzing the traces of users on various network terminals, big data can better analyze users' behaviors, emotions, thoughts, hobbies and needs, so as to make better decisions and analysis

three key points of big data

first, the availability of data. At present, in China, the development of big data is seriously constrained by the lack of publicity of government information, a lot of data is difficult to obtain, leading to the difficulty of real big data mining and analysis, which requires the government to open more data in time to improve the availability of data

Secondly, the scientific model construction. The scientific nature of the model directly determines the quality of data analysis, which requires a high level of modeling, of course, the more data is concive to the reasonable construction of the model

Third, use experts to refine opinions. The original and high-quality viewpoint based on data mining, which provides the basis for decision-making, highly relies on high-quality data interpretation, which reflects the value of instry experts

provided by IOT media

6. What's the difference between the Internet of things, blockchain and big data
in the near future, the number of devices in the Internet of things will explode, which may be hundreds of billions or trillions. If such a huge network is still managed in a centralized networking mode, the infrastructure investment and maintenance of the data center should be incalculable
in essence, big data belongs to a small branch of database, so this problem is attributed to the relationship between big data and database. Database is a very old research field in software, Internet and it. From the initial file system to ER model, to the three achievements of traditional database, which are known to all, relational model, transaction processing and query optimization, to the rise of NoSQL database after the popularity of Internet, database technology is constantly developing and changing, Then it also includes semi-structured data processing represented by XML and unstructured data processing such as text and voice

it seems that the relationship between blockchain and database is actually such a relationship. From the evolution process of database technology, we can find that it always comes from how to meet new business requirements and then create new data processing technologies. For example, from the beginning of the file system, why do we need the ER model? It is because with the development of the financial instry, people have further requirements for these fast accounting, high concurrency data writing and access, which leads to the emergence and rapid development of the entity relationship model. Why did NoSQL database appear later? It is because the rapid development of the Internet puts forward higher requirements for updating the database, so in essence we think that the whole Internet is a big database
things are always developing. Of course, after we solve the problem of massive real-time data processing on the Internet through NoSQL database and cloud storage, the next problem must come, that is, how to solve the authenticity and effectiveness of data in a large-scale way
for example, it may be related to our diet, from the problem of food and clothing at the beginning, to the problem of nutrition structure, and then to the problem of food safety that everyone is concerned about. The development of database is the same. When we can solve these problems of data storage and data access through ER entity relationship model and NoSQL database, Next, we need to care about and solve the problem of authenticity and effectiveness
so at this stage, these technologies, represented by blockchain, must be a new starting point and new requirements for the authenticity, validity, unforgeability and tamper resistance of data compared with the current database. We can clearly feel that the trend of database and blockchain integration is actually very close and irresistible, just like the movie just mentioned, the procers of content begin to develop in the direction of virtual reality and augmented reality; From the perspective of database, blockchain is a new way of data organization. We believe that big data and blockchain are integrated.

7. Talk about my understanding. Blockchain and the Internet of things are very hot now. There are many articles about trends. Yesterday, I reviewed the articles a few years ago, and some of them grasped the trends very well. To get back to business, I personally think it's a process from point, line, surface to three-dimensional. No matter the blockchain or the Internet of things, they connect things that were not closely related in the past through technological innovation, and become a whole of mutual connection and interaction. Connecting to the whole, you can do whatever you want. I hope it will help you.

8. If you don't understand this, don't do it. It's all virtual things. When the landlord asks questions, it's deceptive. It's obvious that those who advertise on this platform value your principal

9. Blockchain is a new
application mode of distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and other computer technologies. The so-called consensus mechanism is a mathematical algorithm to establish trust and obtain interests between different nodes in the blockchain system. Heshu software is an innovative technology enterprise focusing on the research and development and application of blockchain technology, and a professional blockchain technology service provider. The team has been developing blockchain technology since 2016, and has made in-depth research on blockchain encryption algorithm, consensus mechanism, network security, distributed, point-to-point and other blockchain technology fields.