The difficulty of studying big data major for specialists exists, but it is not insurmountable. First of all, the knowledge system of big data majors covers a variety of fields such as computer science, statistics, mathematics, etc., which requires students to have a strong theoretical foundation and learning ability. Secondly, the application of big data technology is very broad, involving data collection, storage, processing, analysis and other aspects, which requires students to have strong practical ability and problem-solving ability.

For specialists, the difficulty of learning big data majors is mainly reflected in the following aspects:

1. Insufficient basic knowledge reserves: the study of big data majors requires certain basic knowledge of computer science, statistics, mathematics and other basic knowledge, which specialists often do not have contact with in high school, and therefore they may encounter some difficulties.

2. Limited learning resources: Although there are many learning resources about big data on the Internet nowadays, the quality varies, and specialists may not be able to distinguish which resources are really valuable and which are misleading.

3. Insufficient practical experience: the application of big data technology is very extensive and requires a lot of practical experience to master. And specialists may not have enough opportunities for hands-on practice during their school years, which will affect their ability to master big data technology.

4. Competitive pressure for employment: with the popularization of big data technology, more and more enterprises start to recruit talents specialized in big data, which makes the specialist students face greater competitive pressure in the job market.

Overall, the difficulty for specialists to learn big data majors exists, but as long as they are able to overcome the above difficulties, it is entirely possible for them to master big data technology and succeed in the future job market through hard study and practice.