How can big data help tennis players improve their performance on the court?

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.
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Cloud-native Big Data, Lake-Warehouse Integration, AI for Data - Who's in charge in the future?

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.
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What is the value of data analysis?

With the advent of the digital age, data has become one of the most valuable assets in businesses and organizations. And data analytics is the key tool to turn this data into real value.
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How Big Data is changing the nature of consumer lending

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.
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Production control equipment maps, multi-source data analysis issues in-depth mining

High-end equipment manufacturing enterprise factory, there are many production-related equipment and various types of equipment, equipment management work more difficult.
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3 Ways to Successfully Manage and Protect Your Data

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.
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Benefits of big data analysis and how to analyze big data

Big data analysis is a complex process of analyzing a large amount of data to discover information such as hidden patterns, relevance, market trends and consumer preferences, which helps enterprises make better decisions.
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10 Misunderstandings of Big Data Application

The British science and technology news media V3 recently listed 10 relevant misconceptions about big data applications.
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Has the development of big data come to an end?

The data grid can overcome many challenges inherent in big data by driving higher levels of autonomy and data engineering alliances among a wider range of stakeholders. However, big data is not a panacea, it brings a series of risks for enterprises to manage.
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How Research Institutes Should Use Data Analytics Tools to Improve Research Efficiency

With the increasing maturity of data analytics technology, research institutes should actively utilize data analytics tools to improve research efficiency.
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