Author: Zen and the Art of Computer Programming
1 Introduction
Big data technology has been developing rapidly. With the explosive growth of cloud computing, big data analysis platforms, and mobile Internet, more and more application scenarios will face the demand for big data. How to integrate big data technology, build a big data industry chain, become a leader in the field of big data, and become the most influential talent in the industry has become a hot issue that many technical people are concerned about. As a technical expert, I think we still need to start from the following three aspects:
①The progress of technology itself: how to use big data to solve practical problems;
② Research and development of technical service providers: how to improve the user experience of big data service products, reduce costs, and improve efficiency;
③Expansion of the industrial chain: How to involve more enterprises in the research, development and implementation of big data technology and jointly promote the development direction of big data technology.
2. Background introduction
Big data has become a booming emerging industry, and its broad application scenarios have attracted many entrepreneurs to join in the exploration. Through the analysis of big data, more valuable information is discovered, which has led to revolutionary changes in various industries. At present, big data technology has become a key technology to achieve informatization transformation. In 2017, only China ranked first in the big data market share in the world. According to statistics from domestic IT giant Baidu, as of July 2019, there were more than 150,000 companies with big data businesses across the country, accounting for 33%. Due to the global promotion and wide range of applications of big data technology, all walks of life have a strong interest in big data technology.
However, as a technical expert, how to integrate big data technology, build a big data industry chain, become a leader in the field of big data, and become the most influential talent in the industry has become a hot issue that many technical people are concerned about. At this time, how can we look at this problem from a professional perspective and give scientific advice and actionable solutions?
3. Explanation of basic concepts and terms
First of all, it is necessary to clearly understand the differences between “data”, “knowledge” and