What is big data technology? |
An overview first - Big data technology is actually a complete set of "data + business + demand" solutions. |
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It is actually a very broad concept, involving five areas: 1. Business analysis; 2. Data analysis; 3. Data mining; 4. Machine learning; 5. Artificial intelligence. |
From 1 to 5, technical background is increasingly required; from 5 to 1, it is getting closer and closer to specific business. |
What is big data? Let's take a look at some gossip news first: An angry father stormed into a Target supermarket chain and demanded to know why the supermarket was sending an advertisement for baby products to his daughter, who is in high school. But what was very disappointing was that after communicating with his daughter, the father found out that her daughter was really pregnant. |
In the world of big data, the principle of the matter is simple - the keywords the girl searched for products and the behavior traces she displayed on social networking sites allowed the supermarket's marketing system to capture information about her pregnancy. Think about the "daughter" in the above incident. Her user portrait standards in the online marketing system may include: User ID, gender, personality description, asset status, credit status, favorite color, favorite brand, aunt's Date, last week's shopping list, etc. With this information, the system can carry out precise advertising marketing and personalized shopping recommendations for this user. |
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Big data is a huge collection of data. Big data comes from the repeated behavioral data of massive users and is a data collection; But the strategic significance of big data lies not in mastering huge data information, but in professional processing of these meaningful data. |
In the movie "Captain America 2", the system can store all behavioral characteristics of a person from birth, such as consumption behavior, life behavior, etc., as labels into the database, and finally predict whether this person will pose a threat to the organization in the future. Then use the positioning system, kill these people who are predicted to be a threat. |
The McKinsey Global Institute once gave a quite formal definition of big data: A data that is so large in scale that it greatly exceeds traditional database software tools in terms of acquisition, storage, management, and analysis. |
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Data collection within the scope of capabilities has four major characteristics: massive data scale, rapid data flow, diverse data types, and low value density. |
The above four characteristics are what people often call the 4V characteristics of big data (volume, variety, value, velocity), that is: 1. The data volume is huge. 2. Various data types. 3. Low value density and high commercial value. 4. Processing speed is fast and timely. |
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