Big data, go language and blockchain

1. 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.

2. The relationship between 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. There is no doubt that "blockchain + big data" has broad development prospects. Based on the existing commercial application scenario design, jinwowo will deeply study the commercial application of "blockchain + big data" in more service fields, provide one-stop data solutions for small and medium-sized enterprises and users, and rece the data cost

6. Go language and blockchain are involved in the fields of upper application development of blockchain, lower system development of blockchain, high concurrency server, web and micro service development, distributed development, etc. Go language and blockchain focus on the underlying system of blockchain, which is more in-depth
what I know is that smart podcasting has set up this subject, and some of them will have supporting materials and free courses, so you can go and have a look.

7. This is determined by your programming level. At present, the level of domestic programmers is basically a pyramid structure, and most of them are middle-level programmers. From this point of view, it is basically impossible for most people to learn functional programming. One of the most important reasons for choosing go is that a middle-level programmer can write very good go code. The main reason is that go language is very simple, features are very few, and the official class library is very rich. Most programmers can easily start to develop it. Chain33 blockchain developer platform, a well-known domestic open source project, is completely completed by go. There are many mature blockchain technologies in China, such as micro three cloud, etc., which will not be repeated here.

8. Big data is a huge data group collected from many sources in multiple forms, often with real-time. In the case of business to business sales, the data may come from social networks, e-commerce websites, customer visit records, and many other sources. These data are not the normal data group of the company's customer relationship management database. From a technical point of view, the relationship between big data and cloud computing is as inseparable as the positive and negative sides of a coin. Big data can not be processed by a single computer, so it must adopt distributed computing architecture. It is characterized by massive data mining, but it must rely on cloud computing distributed processing, distributed database, cloud storage and / or virtualization technology. The meaning of big data is accompanied by the increasingly popular network behavior of human beings. It is collected by relevant departments and enterprises, and contains the real intention and preference of data procers. It is non-traditional structure and meaning of data.