Big data (big data), refers to a collection of data that cannot be captured, managed and processed within a certain timeframe using conventional software tools, is a massive, high-growth rate and diversified information asset that requires new processing modes in order to have stronger decision-making, insight discovery and process optimization capabilities.

The important impact of big data on the economy and society:

1. The ability to drive the realization of huge economic benefits

For example, the contribution to the growth of net profit in China's retail industry, and the reduction of the cost of product development and assembly in the manufacturing industry.

2, can promote the enhancement of the level of social management

Big data in the field of public **** services, can effectively promote the relevant work, improve the relevant departments of the level of decision-making, service efficiency and the level of social management, resulting in great social value. Several European cities have analyzed real-time traffic flow data to guide motorists in choosing the best path to improve urban traffic conditions.

3. Without high-performance analytic tools, the value of big data cannot be released. The application of big data must maintain a clear understanding of the results of its analysis can not be superstitious, but also because it is not completely accurate and deny its important role.

When choosing a big data training organization, you should pay attention to the following points:

I. Employment

Every trainee is most concerned about employment, so this requires you, when choosing a big data training organization, to learn more about the training organization's employment channels and employment guarantee system. It is important to learn well, but the training organization can help you find a better job if it has a broad employment channel.

Two. Teacher power

The so-called master teacher, only a big data engaged in experience, teaching experience is also rich in teachers can really teach your big data, both are indispensable. Big data experience represents the teacher for the degree of research on big data, if a teacher's own big data are not mastered enough, you think about it, can teach students well? Secondly, teaching experience is also indispensable, even if a teacher of big data research and deep, he can not use an easy to understand way to present to the students, students listen to the bottom of the plausible non-understanding, students mastered the nature of the bad, so the teaching experience is also a measure of the strength of the teachers of a training institution is an important standard.

Three. Big data course system

Big data course system is an important evaluation standard to measure whether a big data training is professional. Whether the big data training course is scientific and professional directly determines whether the course can meet the employment requirements of enterprises, whether the students can be easily absorbed and other issues; at the same time, a good course allows students to learn the most and the most useful knowledge of big data in the shortest possible time.

Four. Real large-scale projects

If the course and teachers are pre-war preparation and padding, then the project is the real battlefield, accurately said the project exercise of big data training institutions is equivalent to allow you to go to war in advance, to avoid the embarrassment of the battlefield really looking for a job later on when the paper. So the project exercise directly affects whether you can find a better job. The big data talents with rich project experience are more welcomed by enterprises.