Prospects: Judging from the employment situation of graduate students in the direction of big data in the past two years, there are still many jobs in the field of big data, especially in the field of big data development. At present, it is gradually covering from big data platform development to big data application development, which is also the inevitable result of the comprehensive application of big data.

Judging from the recruitment situation in recent years, the number of big data development jobs is obviously more, which requires not only R&D talents but also applied talents, so there are more employment opportunities for undergraduates.

Employment direction:

1, the development direction of big data. The professional positions involved are: big data engineer, big data maintenance engineer, big data R&D engineer, big data architect, etc.

2. Direction of data mining, data analysis and machine learning. The professional positions involved are: big data analyst, big data senior engineer, big data analyst, big data miner, big data calculator, etc.

3. Big data operation and cloud computing direction. Corresponding position: big data operation and maintenance engineer.

Big data:

Big data, or huge amount of data, refers to information that involves so much data that mainstream software tools can't capture, manage, process and arrange it in a reasonable time to help enterprises make more active business decisions.

In The Age of Big Data written by Victor Meyer Schoenberg and Kenneth Cookeye, big data means that all data are used for analysis and processing, and there is no shortcut to random analysis (sampling survey).

5V characteristics of big data (proposed by IBM): volume (mass), speed (high speed), diversity (diversity), value (low value density) and authenticity.