Big data computing and analysis system based on cloud platform. It has rich and high-quality data resources, and obtained more than 100 copyright big data resources through its own channel resources. All data are audited to ensure high availability of data.
2. Fast mining machine
The data science software platform provides an integrated environment for data preparation, machine learning, deep learning, text mining and predictive analysis.
3.Oracle data mining
It is the representative of Oracle Advanced Analytical Database. Market-leading companies use it to maximize the potential of data and make accurate predictions.
4.IBM SPSS modeler
Suitable for large-scale projects. In this modeler, text analysis and its most advanced visual interface are very valuable. Helps to generate data mining algorithms, and basically does not require programming.
5.KNIME
Open source data analysis platform. You can quickly deploy, expand and familiarize yourself with the data.
6. Computer programming language
A free and open source language.
About what useful big data collection platforms are available, Qingteng Bian Xiao is here to share with you. If you are interested in big data engineering, I hope this article can help you. If you want to know more about the skills and information of data analysts and big data engineers, you can click on other articles on this site to learn.