Big data has been closely related to our life, many enterprises have started to use big data, even a small thing in our life may be related to big data.

With the gradual development of big data, there is more and more data, and data analysis is especially important.

The industry discussion on cloud migration has focused on how to redesign applications to take full advantage of cloud services and then migrate them to the cloud.

Python as a recognized language suitable for big data, want to do big data development and big data analysis, not only to use Java, Python is also very important a core.

Cloud technology is a way of sharing computing resources connected through the Internet. These resources include computers, storage devices, network devices, and applications.

Although big data may seem advanced, but in these years of development, there have been many cases close to our lives, but we may not realize that this is actually "big data" in action.

The British science and technology news media V3 recently listed 10 relevant misconceptions about big data applications.

The reason that AI can generate accurate answers without relying on traditional databases is because AI can perform applications in natural language processing, machine learning, knowledge graph technology, and semantic analysis techniques.

Data silos and unlinked systems caused employees to waste a lot of time moving information around. In addition, the sheer volume of paper and electronic forms forced employees to manually process documents and verify their contents.

Cloud computing is technically a data service center architected by virtualization technology to realize resourcefulness of storage, computing, memory, network, etc. and dynamic allocation according to user needs.