What challenges do traditional relational databases face?

Challenge 1: The data source is complex.

Rich data sources are the premise of the development of big data industry. However, the total amount of digital data resources in China is far lower than that in the United States and Europe, and the amount of newly added data is only 7% in the United States and 12% in Europe, among which the accumulation of data resources in government and manufacturing industry lags far behind that in foreign countries. As far as the limited data resources are concerned, there are still low standardization, low accuracy, low integrity and low utilization value, which greatly reduces the value of data.

Challenge 2: Establish a data mining analysis model

Stepping into the era of big data, people are talking about big data, which seems to have evolved into a new trend. Data is more rooted in every corner of our lives than ever before. We try to use data to solve problems, improve welfare and promote new economic prosperity.

Challenge 3: Trade-off between data disclosure and privacy

The premise of data application is that data is open, which is already a knowledge. Some professionals pointed out that China has the largest population in the world, but the newly stored data in China in 20 10 was 250PB, only 60% of Japanese and 7% of North America. At present, some departments and institutions in China have a large amount of data, but they prefer not to use it themselves or provide it to relevant departments, resulting in incomplete information or repeated investment. In 20 12, the data storage capacity in China reached 64EB, of which 55% of the data needed to be protected to some extent, but at present, less than half of the data has been protected.