In the theory of big data analytics, there are the following main aspects: (1) a shift from a "process" core to a "data" core; (2) a shift from function being the value to data being the value; (3) a shift from sampling to the The need for all data samples; (4) from the focus on accuracy to focus on efficiency; (5) from causality to focus on correlation; (6) from not predictable to predictable; (7) from people looking for information to information looking for people and so on.