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.
Big Data
Human beings and objects are the two major categories of the earth. Human beings are the most advanced animals on the earth. Objects (animals, plants, organisms, microorganisms, man-made objects) cannot be made. Human beings have wisdom and dominate the earth;
By 2025, healthcare data is expected to grow at an average annual rate of 36%, far outpacing other sectors such as manufacturing, financial services, the media industry, and entertainment.
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.
The application of big data is just like the use of credit cards. The better you use it, the greater the income. On the contrary, can enterprises bear the cost of mistakes in big data? This article describes 6 major mistakes and solutions.
The British science and technology news media V3 recently listed 10 relevant misconceptions about big data applications.
The enterprise data space is growing twice as fast as the consumer data space, in part because organizations are increasingly using the cloud for storage and consumption. Much of this raw data is often located in disparate silos at the point of collection, limiting its use in the enterprise.
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.
What is the significance of digital transformation? This is the answer to the question that every enterprise is looking for, and the most common answer is the reinvention of business processes.
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.