Employment prospects and employment directions of big data

The employment prospects and employment directions of big data are as follows:

Prospects: Judging from the employment situation of graduate students in the field of big data in the past two years, there are still many positions in the field of big data. In particular, big data development positions are gradually moving from big data platform development to big data application development. This is also the inevitable result of the full implementation of big data.

Judging from the recruitment situation in recent years, the number of big data development positions is obviously larger, and not only R&D talents are needed, but also application talents, so there are more employment opportunities for undergraduates.

Employment direction:

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

2. Data mining, data analysis and machine learning direction. The professional positions involved are: Big Data Analyst, Big Data Senior Engineer, Big Data Analyst Expert, Big Data Miner, Big Data Algorithmist, etc.

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

Big data:

Big data, or huge data, refers to the amount of data involved that is so large that it cannot be captured within a reasonable time by mainstream software tools. Obtain, manage, process, and organize information to help enterprises make more positive business decisions.

In "The Era of Big Data" written by Victor Meyer Schonberger and Kenneth Cukier, big data refers to the use of all data for analysis and processing without shortcuts such as random analysis (sampling survey). .

The 5V characteristics of big data (proposed by IBM): Volume, Velocity, Variety, Value, and Veracity.