Decentralization of big data features

1. Decentralization is a subversive feature of blockchain technology. It does not need centralized agent and realizes a kind of point-to-point direct interaction, which makes the information interaction mode of high efficiency, large scale and no centralized agent become a reality
jinwowo group will use blockchain technology to promote the legalization of big data business. The encryption of blockchain technology can ensure that the privacy of data sources can be better protected when big data is called, so as to eliminate the bad phenomenon of illegal reselling of big data and rebuild the rules of legal circulation and application in the data market.

2.

please focus on the bold part:

Internet thinking, in the mobile Internet plus big data, cloud computing and other technology development background, the market, users, procts, enterprise value chain and even the whole business ecosystem to reconsider the way of thinking. P>

first put forward the Internet thinking is the founder of network company Robin Li. In a large-scale activity on the Internet, Robin Li first discussed the word "Internet thinking" when Robin Li explored the development issues with the boss and entrepreneur of traditional instries. He said that we entrepreneurs should have Internet thinking in the future. Maybe what you do is not Internet, but your way of thinking should graally think from the perspective of Internet. Now a few years later, this concept has been graally recognized by more and more entrepreneurs, even people from all walks of life and fields outside the enterprise. But the word "Internet thinking" has evolved into a number of different interpretations

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the way of thinking in the Internet era is not limited to Internet procts and Internet enterprises. The Internet here refers not only to desktop Internet or mobile Internet, but also pan Internet, because the future network form must span all kinds of terminal devices, such as desktop, notebook, tablet, mobile phone, watch, glasses, etc. Internet thinking is to rece the dimension, let the Internet instry take the initiative to integrate the real instry

How does Internet thinking come into being? Proctivity determines the relationship of proction. To a certain extent, the technical characteristics of the Internet will affect its logic at the commercial level. The unit of instrial society is tangible atom, while the basic medium of Internet world is intangible bit. This means that economics in the era of instrial civilization is a kind of scarcity economics, while economics in the era of Internet is a kind of abundance economics. According to Moore's law and other theories, the three basic elements of the Internet bandwidth, storage and server will be unlimited free. In the Internet economy, monopoly of proction, sales and communication will no longer be possible

Moreover, a network Internet has no central node, it is not a hierarchical structure. Although different points have different weights, no point is absolutely authoritative. So the technical structure of the Internet determines its inner spirit, which is decentralized, distributed and equal. Equality is a very important basic principle of the Internet

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in a network society, the value of an "indivial" and an "enterprise" is determined by the breadth and thickness of the connecting point. The wider and thicker your connection, the greater your value. This is also the basic feature of the pure information society. Your information content determines your value. So opening becomes a necessary means of survival. If you don't open up, you can't get more connections

Therefore, the Internet business model must be built on the basis of equality and openness, and Internet thinking must reflect the characteristics of equality and openness. Equality and openness mean democracy and humanization. In this sense, the Internet economy is a real people-oriented economy

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in the era of agricultural civilization, the most important assets are land and farmers. In the instrial era, the most important assets are capital, machinery (machinery is solidified capital) and alienated people on the assembly line. In the early instrial age, the most important consideration was the alienated man, because man was also treated as a machine. People are just screws in the assembly line

in the era of knowledge economy, the core resources are data and knowledge workers, which Drucker said at the end of last century. Enterprise management will also move from the traditional multi-level to a more flat, more network, more ecological way. Let knowledgeworker truly create value and become the most important and needed breakthrough place for any organization and the whole society

3. 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.

4. Due to the use of Distributed Accounting and storage, there is no centralized hardware or management organization, the rights and obligations of any node are equal, and the data blocks in the system are jointly maintained by the nodes with maintenance function in the whole system
in the future, jinwowo will continue to tap the value of blockchain technology in the commercial field, give full play to the advantages of big data services, add value to user behavior, break the ice for the development of small and medium-sized enterprises, and build a real, efficient, safe and honest Internet community of destiny.

5. digital currency is the abbreviation of digital currency. It is an alternative currency in the form of electronic currency. Both digital gold coin and cryptocurrency belong to digiccy. It can not be completely equivalent to the virtual currency in the virtual world, because it is often used for real goods and services transactions, not limited to online games and other virtual space. At present, the central bank does not recognize or issue digital currency, and digital currency does not have to have a benchmark currency. The popular digital currencies in 2015 include bitcoin, lightcoin, bitstock, Ruitai coin, thousand gold card, etc. At present, there are thousands of digital currencies issued all over the world

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first, improve data quality

the essence of blockchain is a decentralized distributed ledger. It can also be understood as a non tampering, full history, distributed database storage technology. Therefore, blockchain technology can liberate more data. The trustworthiness, security and non tampering of blockchain technology fundamentally improve the quality of data and enhance the ability of data inspection

Second, dealing with the problem of data island

big data has a very serious problem of data island, and a lot of data cannot be obtained at present. Blockchain is expected to deal with this problem. This is mainly because blockchain is not only a distributed ledger, but also has the characteristics of decentralization and openness. As order maintainers 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

in essence, the blockchain is actually a decentralized database. Therefore, if the data of one node in the blockchain changes, other nodes will find it at the first time, so the possibility of data leakage will be greatly reced. Only in the form of private key can the identity information of each node in the blockchain be obtained successfully, and only the data owner can know the private key

4. Blockchain can protect the relevant rights and interests of data

for valuable data assets of indivials or organizations, blockchain can be used to register them, and transaction records are recognized, transparent and traceable throughout the network. The source, ownership, use right and circulation path of big data assets are clear, which is of great value to the transaction of data assets

v. traceability of blockchain

every step of data collection, trading, circulation, and accounting analysis can be kept on the blockchain, so that the data quality can obtain unprecedented strong trust endorsement. At the same time, it also ensures the correctness of data analysis results and the effect of data mining

sinomeni will share with you the role of blockchain in big data. If you are interested in big data engineering, I hope this article can help you. If you want to know more about the skills and materials of data analysts and big data engineers, you can click other articles on this website to learn

7. Social marketing is a marketing mode based on the concept of circle and network. By gathering people with common interests together, a circle of interests will be built into a home for consumption
a community can be set up through big data prediction to carry out publicity activities for enterprises, so that the community can form a publicity channel or a small publishing platform. However, the nature of the community depends on the ability of the group leader to organize and maintain the group.

8. Generally speaking, in the first tier cities, bat's starting salary for fresh graates is not high, but as long as they work hard and have outstanding ability, in fact, it's very easy to get an annual salary of more than 150000 yuan in the two or three years after they are employed. In third tier Internet companies, under the same conditions, the annual salary of ordinary technical staff can generally reach about 150000 yuan. The salary of ordinary employees in quasi second tier Internet companies can reach or exceed 200000 yuan, which is absolutely enviable compared with many traditional instries. After more than five years of work experience, the income gap in Internet enterprises will widen

such an attractive salary is definitely what everyone wants to join. However, the condition for joining is to master certain skills. Based on the requirements of many big data companies, the statistics are as follows:
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2. Skillfully use Hadoop, M / R, hive, storm and other development tools
3. Familiar with Linux commands and shell programming
4. Sensitive to data, good logical analysis ability, good communication skills and team spirit
5. Familiar with impala, Druid, mdrill, elasticsearch and other big data tools is preferred
according to the requirements of enterprises for big data engineers, the technologies you need to learn are as follows:
stage 1, big data foundation - Java language foundation
(1) Java language foundation
(2) HTML, CSS and JavaScript
(3) JavaWeb and database
stage 2, Linux & Hadoop ecosystem
linux system, Hadoop offline computing outline Distributed database HBase, data warehouse hive, data migration tool sqoop, flume distributed log framework
stage 3, distributed computing framework and spark & strom ecosystem
(1) distributed computing framework
python programming language, Scala programming language, spark big data processing, spark streaming big data processing, spark mlib machine learning, etc Calculation of spark graphx diagram, actual combat 1: recommendation system based on Spark (real project of a front-line company), actual combat 2: sina.com www.sina.com.cn
(2) storm technology architecture system
storm principle and foundation, message queue Kafka, redis tool, zookeeper detailed explanation, actual combat I: log alarm system project Actual combat 2: guess you like the actual combat of recommender system
stage 4: actual combat of big data projects (real projects of first-line companies)
data acquisition, data processing, data analysis, data presentation, data application
stage 5: big data analysis AI (artificial Intelligence)
data analysis work environment preparation & data analysis basis, data visualization, python machine learning
1 Python machine learning 2. Image recognition & neural network, natural language processing & social network processing, practical project: outdoor equipment recognition and analysis