What are the enterprise big data analysis tools?
Big data is usually defined as data with five characteristics. These characteristics include data size, speed, variety, low value density, and authenticity. Since this kind of data is beyond the capabilities of traditional data processing software, it needs to be processed with the help of new tools, that is, big data analysis tools.
So, what are the big data analysis tools we commonly use so far?
According to different characteristics and uses, we divide common big data analysis tools into multiple types, such as:
The main role of data mining tools is to explore potential patterns, correlations, regularities, and trends in large amounts of data. Representative of such tools are R, python, IBMSPSS, etc.
The big data processing framework is a tool for processing a large number of data sets, which is realized by building a large system framework. As the core basic components of many big data application platforms, the most famous are Hadoop and Spark. These frameworks enable distributed processing and analysis of data to increase data processing speed and efficiency.
Business intelligence and data visualization tools are very practical business tools, mainly used to quickly process complex business data and display the processed data in a graphical way. These tools can help business users understand and analyze data more easily to drive business activities in a data-driven manner. Common business intelligence and data visualization tools include foreign
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