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.

The core technology of the big data analysis system includes the following aspects:

• Data collection technology: The big data analysis system needs to start from Various data sources collect different types of data in real time or timely and send them to storage systems or data middleware systems for subsequent processing.
• 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 to improve the quality of the data.
• Distributed storage technology: Big data analysis systems need to store a large amount of data, so they need to use distributed storage technologies, such as Hadoop Distributed File System (HDFS), to achieve distributed storage and access of data.
• Distributed computing technology: Big data analysis systems need to process and analyze large amounts of data, so they need to use distributed computing technologies, such as MapReduce, etc., to achieve distributed processing and calculation of data.
• Data mining technology: Big data analysis system needs to mine and analyze data, so it needs to use data mining technology, such as cluster analysis, association rule mining, time series analysis, etc., to discover patterns and patterns in the data. law.
• Visualization technology: Big data analysis systems need to present analysis results to users in an intuitive way, so they need to use visualization technologies, such as data visualization, interactive visualization, etc., to help users better understand and analyze data .

In short, the core technologies of big data analysis systems include data collection, preprocessing, distributed storage, distributed computing, data mining and visualization. The combined use of these technologies can achieve efficient processing and analysis of big data and provide strong support for corporate decision-making.

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