Expandability: big data platform deployed on multiple machines, how to expand new machines on top of it is a problem often encountered in the actual application;
Security: guaranteeing the security of data is an integral part of big data platform. In the processing of massive data, how to prevent data loss and leakage has always been a research hotspot in the field of big data security.
System architecture should be highly secure, easily scalable, and able to support all types of mainstream development languages and provide rich interfaces. It can also support the storage and application of structured and unstructured data. Through the establishment of IoT applications, it realizes powerful support for the management of items, personnel, security and other aspects, and improves the quality of management while accumulating a large amount of management data and behavioral data.
On what factors to consider in building a data analytics platform, Aoto Editorial has shared with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to learn more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.