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The core technologies of the big data analysis system include
The core technologies of the big data analysis system include data collection, preprocessing, distributed storage, distributed computing, data mining and visualization. If you want to know more about big data analysis, you can read the articles below this topic.
What are the core technologies of big data analysis system?The core technologies of the big data analysis system include data collection, preprocessing, distributed storage, distributed computing, data mining and visualization. Detailed introduction: 1. Data collection technology: Big data analysis systems need to collect different types of data from various data sources in real time or in a timely manner and send them to storage systems or data middleware systems for subsequent processing; 2. Data preprocessing technology: The quality of data has a direct impact on the value of data. Low-quality data will lead to low-quality analysis and mining results. Therefore, preprocessing operations such as cleaning, deduplication, merging, and conversion of data need to be performed.
What are the common methods of big data analysis?Trend analysis is generally used for long-term tracking of core indicators. Comparative analysis, comparing yourself horizontally and comparing yourself vertically with others (such as competitors). Quadrant analysis divides each comparison subject into four quadrants based on different data. Cross-analysis, cross-presentation of data from multiple dimensions, and combined analysis from multiple angles.
How to do big data analysis in pythonFirst, use python to obtain data and store the data in the database. For data preprocessing, use the pandas package. Use knowledge of probability theory and statistics for data modeling. Finally, the Python data analysis package was used for data analysis. Of course, you need to understand the mathematical knowledge used in it.
What are the big data analysis tools?Big data analysis tools include: 1. hadoop, as the main tool in big data, this tool can perform distributed processing of large amounts of data; 2. pcc, this tool is used as a high-performance computing and communication tool; 3. Storm, this tool There are many application fields, such as non-stop computing, online learning, real-time analysis, etc.
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