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How is Dana's big data course? Will online and offline learning be better?
Dana's big data course is very good, the course is comprehensive and meticulous, and the learning atmosphere is good. Learning big data suggests going to Dana for education and training.

Big data refers to the huge amount of data involved, which cannot be captured, managed, processed and arranged in a reasonable time by the current mainstream software tools, helping enterprises to make more active business decisions.

Three advantages of Dana's big data tutorial class:

1, big data cloud computing curriculum system. The content is comprehensive and the technology is in-depth, involving JavaEE architecture technology, distributed high concurrency technology, cloud computing architecture technology, cloud computing technology, cloud computing architecture technology and so on.

2. Provide a "cloud computing cloud host" experimental environment and a real big data cloud computing development and deployment environment. Students can have dozens of host nodes to complete the development and deployment experiments.

3.O2O dual-mode teaching experience Dana's powerful online teaching platform of TMOOC+TTS8.0 provides students with a dual-mode teaching experience of offline learning and online assistance. If you are interested, click here to study for free.

For more information about Dana's big data course, please consult Dana Education. Dana Education has launched an innovative teaching model of "teaching students in accordance with their aptitude and cultivating them at different levels". In the same course direction, it provides three levels of teaching courses for different audiences, namely, employment, cultivating students with excellent skills and promoting talents. Dana's differentiated teaching mode of "teaching students in accordance with their aptitude and cultivating them at different levels" enables every student who comes to Dana to find a suitable course. Dana IT training institutions, audition places are snapped up in a limited time.