Is it a simple transformation of technology developed from databases, statistics, and machine learning?
I am not very well versed in all these nuances. But one thing is for sure, AWS DevOps engineers are now in great demand. As they perform important functions. My brother was recently able to find a job in this field thanks to the EPAM platform https://anywhere.epam.com/en/aws-devops-engineer-jobs Where there are many current jobs for IT employees. Now he can work from home or from anywhere in the world and still receive a decent salary.
No. I agree with the previous answer that it’s a complicated thing. That’s why all developing, data mining, and machine learning issues I prefer to outsource on DevOps specialists. Unfortunately, I don’t have enough knowledge to get in this properly.
No. Data mining is more than a simple transformation of technology developed from databases, statistics, and machine learning. Instead, data mining involves an integration, rather than a simple transformation, of techniques from multiple, disciplines such as database technology, statistics, machine learning, high-performance computing, pattern recognition, neural networks, data visualization, information retrieval, image and signal processing, and spatial data analysis. 3- Explain how the evolution of database technology led to data mining. Answer: Database technology began with the development of data collection and database creation mechanisms that, led to the development of effective mechanisms for data management including data storage and retrieval, and query and transaction processing. The large number of database systems offering query and transaction processing eventually and naturally led to the need for data analysis and understanding. Hence, data mining began its development
