Hadoop criticized! Experts say big data makes research difficult

The concept of big data has been a long-standing concern. Many people also think that big data is the answer to most business and scientific questions.

Survey results statistics (figure: paradigm4.com)

But the latest http://www.aliyun.com/zixun/aggregation/32268.html "> survey shows that the results are not consistent with people's psychological expectations." Nearly three-fourths of scientists believe big data makes their research more difficult, according to data from database expert PARADIGM4.

Survey results statistics (figure: paradigm4.com)

40% of scientists think they are wasting time managing new types and sources of data and 36% of scientists think it takes too long to get the answers they need from big data, according to a survey of 111 US scientists.

Survey results statistics (figure: paradigm4.com)

84 of the 111 scientists surveyed expressed criticism of Hadoop, saying it was too slow, too much effort, and subject to procedural or other limitations, so that 35% of scientists were forced to give up trying to use Hadoop or other similar products.

Survey results statistics (figure: paradigm4.com)

Due to the large volume of data processing, the loss of time and other problems caused dissatisfaction. 39% said it needed too many programs to support it, and 37% said the interactive query for large data was too slow. And 30% of people think big data is too slow for real-time analysis.

Survey results statistics (figure: paradigm4.com)

Despite the many drawbacks, most people still think big data can still play a key role. 91% of respondents said they used or planned to use large data tools that required complex analysis in two years.

Overall, the current large data platform is not perfect, scientists believe that with the help of large data analysis, their own hands may get results faster. For today's fiery big data platform, foreign survey data show that scientists are not optimistic about the current large data analysis, even for the open source Hadoop product efficiency also put forward, but it is worth affirming that the future with large data and will play a key role.