"big"
Undoubtedly, compared to the traditional human data storage method, this "big" is not a difference in magnitude, but a gap in geometric magnitude. There are 72 billion daily positioning requests on Baidu Maps alone. Think about how many clicks there are every day on the Internet, how many texts and pictures are sent out every day on social media... Various big data platforms collect within a day The amount of data can exceed the sum of human words and images over thousands of years.
【Multi-dimensional】
Multi-dimensionality means that big data can describe a thing in multiple aspects, making it more accurate.
Taking the application of financial credit reporting as an example, traditional financial institutions generally collect data from about 20 dimensions when conducting credit reporting, mainly including age, income, education, occupation, real estate, car ownership, loan status, etc. Then the comprehensive score will be used to judge your repayment strength and willingness, and then decide whether to "pay" you and how much money to send. ?
Internet giants like BAT have entered the financial field, and the dimensions they have gained make traditional banks stunned! Why? Because what they are playing is - big data credit investigation!
- Massive data: They have a massive amount of user data. Not only can they check whether you have made "crazy loan applications", they can also compare your information with data from the entire network and use intelligent algorithms to identify fraud with an accuracy comparable to that of Sherlock Holmes. "! ?️
- behavioral analysis: Your shopping habits, consumption preferences, etc. are all taken into consideration, combined with your declared income, to accurately assess your repayment ability.
Of course, as user privacy, these data will not be made public, but what users can experience is a super-speed review experience: because in the blink of an eye, the big data system can capture tens of thousands of original information and verify tens of thousands of Indicator dimensions, credit queuing? Doesn't exist!
Conducting a credit investigation on a stranger is like "a blind man touching an elephant". The traditional method is to use 20 "blind people" to evaluate a customer's credit "elephant", which is bound to be flawed. And big data is like mobilizing tens of thousands of people to touch the "elephant?", give feedback individually, and aggregate them together to form a more detailed "elephant? portrait." The more dimensions there are, the more accurate the depiction.
Multi-dimensional applications
The same as the underlying logic of multi-dimension, DingTalk multi-dimensional table is a table composed of data in multiple dimensions. Each dimension corresponds to a set of foreign key fields in the fact table, and these fields correspond to the primary keys in the dimension table. This organization method makes the data logically form a fact center surrounded by dimensions, making it easier for users to query and analyze data from different dimensional perspectives.
Multidimensional tables support multiple view selections, providing users with different perspectives. They can flexibly switch the data editing and processing environment according to personal needs, and can achieve efficient operation management.
Summarize
The "bigness" of big data is not only reflected in the amount of data, but also in the diversity of data sources and the multi-dimensionality of data analysis. These characteristics enable big data to provide more comprehensive and accurate information, thereby playing an important role in various fields. Whether it is financial credit reporting, business intelligence or scientific research, big data will become an important force in promoting social progress.
Label
# big data # multi-dimensional # financial credit reporting # data analysis # DingTalk # digital transformation
I hope this article can help you better understand the basic concepts and application scenarios of big data. If you have more questions or need further information, please feel free to ask!
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