Interested in big data more and more friends, dare to break into the big data from a zero base to learn more and more friends, but there are still a lot of friends in a state of entanglement, feel as if they do not have to learn the basis of big data, in fact, they are not clear about what is needed to learn the basis of big data? Today with Kunming computer training / to see, learn big data need what foundation?

Learning big data need what foundation? What are the requirements?

1. Java foundation

Learning big data requires a certain Java foundation, which is ignored by many friends, Java is the main programming language of big data framework construction, big data development based on a number of commonly used high-level language, and Java is the main development language, so you learn big data before, then you must first learn Java.

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2. Mathematical foundation

Big Data, data is composed of a variety of numbers, talking about the numbers can not be separated from the math, learning big data is best to have a little bit of statistical foundation, because you need to summarize and analyze a variety of data, and ultimately let the data to play its due value, you are usually interested in math is relatively strong, then the learning of big data will not feel bored.

3. Logical foundation

Big data, the data itself can be a separate individual, but you have to do is to link them together, so that they play the highest value, the data itself may be dull, but you need to be flexible to cope with, so the study of big data must have a certain foundation of logic, and dispersive thinking, dispersive thinking allows you to apply in big data The first thing you need to do is to get a new idea of what you want to do with the data.