Big Data

In the digital age, the emergence of disruptive technologies has changed the nature of lending. Thanks to big data, the lending process is now less about the bank and more about the customer.

To do big data, first of all, you should understand what is the core of your own enterprise or industry. We often find that many enterprises are defeated not by their current competitors, but by many competitors who are not your competitors. For a simple example, everyone thinks that Amazon is an e-commerce company, but this is wrong. Its main revenue now comes from the cloud (cloud service). That is to say, enterprises need to find their own core data (value).

Data Lake is a term that has emerged in the past decade to describe an important part of the data analysis pipeline in the big data world.

To ensure that your organization's big data plan is on track, you need to eliminate the following 10 common misconceptions. Let's look at them together.

Security solutions that work well locally or in the cloud can be vulnerable when used in a hybrid data center, and organizations need a new approach to meet the data security needs of hybrid data centers.

The combination of analytics and video can help coaches further improve player performance. The tennis community is now actively introducing various emerging technologies into all aspects of the sport.

Big data has always been a relatively mysterious industry, in recent years because of big data discriminatory pricing only by more than the average person to understand, so have you ever thought about big data whether it is developed or analyzed, where the data inside are coming from?

Big data offers educators unprecedented opportunities to reach and instruct students in new ways. Its also allows for a deeper understanding of students' educational experiences, reduces dropout rates, and helps schools adjust funding and enrollment strategies.

What we can predict is that the future of big data technology will continue to evolve along the direction of heterogeneous computing, cloudization, AI convergence, and in-memory computing.

Data visualization is mainly aimed at communicating and communicating information clearly and effectively with the help of graphical means.