Traditional Culture Encyclopedia - Traditional stories - Big data features include
Big data features include
1, large quantity: Big data usually refers to massive data, which is usually larger than the data that can be processed by traditional data processing methods.
2. Diversity: Big data usually consists of data from multiple sources, covering different types of data such as structured data, semi-structured data and unstructured data.
3. High speed: The amount of big data is huge, and traditional data processing methods may not guarantee its real-time processing, which requires very fast data processing.
4. Authenticity: Big data has higher authenticity, which can better reflect the real state or dynamic changes of things and gain insight into business models, trends and other information.
5. Low value density: There may be only a few data points in big data that can effectively generate value, and it is necessary to use big data analysis methods to obtain these value points.
6. Unstable data quality: The data sources involved in big data are complex and diverse, the data quality is difficult to control, and the reliability and correctness of data are inevitably problematic.
Coverage of big data
1. Business data: Business data is data from enterprise operation, sales, marketing and customer relationship management, which can effectively help enterprises make better decisions and plans.
2. Social media data: Social media data refers to data from social media platforms, such as posts, comments, files, sharing and other social interactive content, which can be used to analyze customer behavior and crowd interest.
3. Internet data: Internet data refers to data from various sources and channels on the Internet, such as search engine data, user behavior data on websites and e-mail record data, which are usually used to measure network activities and online advertising effects.
4. Scientific research data: Scientific research data are usually test data from scientific research fields, such as images, texts and audio, which can help scientists analyze data and conduct research in the fields of medicine, weather forecast and atmosphere.
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