Is big data analysis the same as blockchain

1. The decentralized big data transaction realized on the blockchain can effectively rece the contacts of the original data and fundamentally guarantee the security of the data
in the future, jinwowo will focus on blockchain technology to promote the legal circulation and commercial application of big data.

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. 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.

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

5. 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.

6. 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

7. Blocktrending is a software that can integrate all data and monitor data dynamic in real time. There are also multi-dimensional analysis and exclusive analysis reports. Anyway, it can be multi parameter, at least the data is transparent

8. "Big data" has been applied in almost all instries, and the era of big data has also brought a variety of data with rising value
because of its immeasurable value, it has become an important research topic

big data is so valuable, but it can only be concentrated in the hands of a small number of owners. And people's life will proce a lot of data. The problem is that indivials have no way to obtain and store their own data e to external restrictions

the blockchain enables each indivial to have all the data generated by himself, and has a way to trade, analyze... And ensure the security of personal data.

9. 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.