Why do you need special technology to deal with big data, and the previous technology is no longer applicable?

Because new technology processes information faster.

Disadvantages of traditional data processing methods: the traditional data acquisition source is single, and the amount of data stored, managed and analyzed is relatively small, so most of them can be processed through relational database Q and parallel data warehouse. The traditional parallel database technology pursues high consistency and fault tolerance in improving data processing speed by relying on parallel computing. According to CAP theory, it is difficult to guarantee its availability and scalability. The traditional data processing mode is processor-centric, but in the big data environment, it is necessary to adopt a data-centric mode to reduce the overhead caused by data movement. Therefore, the traditional data processing methods can no longer meet the needs of big data!