1. Big data refers to a collection of data that traditional software tools cannot capture, manage and process within an affordable time range. It is a massive, high-growth and diversified information asset, which needs a new processing mode to have stronger decision-making, insight and discovery, and process optimization ability.

2. Data analysis refers to the process of using appropriate statistical analysis methods to analyze a large number of collected data, extract useful information and form conclusions, and conduct detailed research and summary of the data.

3. Data mining involves many algorithms, that is, finding meaningful patterns or knowledge from massive data.

Want to know more about big data, data analysis and data mining, I suggest you take a look at the relevant courses of CDA data analyst. This course focuses on project-based scene teaching, which can mobilize students' practical ability of data mining. In the business scene designed by the lecturer, the lecturer keeps asking business questions, and then the students gradually think and operate to solve the problems, thus helping the students to master the truly excellent data mining ability to solve business problems. Click to make an appointment for a free audition class.