Search Results: big data (33)
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.
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.
When it comes to big data, many people can say some, but if you ask what are the core technologies of big data, it is estimated that many people will not be able to say
On the Internet, everyone leaks certain fragments of information more or less, either actively or passively. When this information is mined by big data, there is a risk of privacy leakage and raises information security issues.
Low-latency analytics is a technology that enables processing and analyzing big data in real time or near real time. It is critical in big data processing because it allows organizations to extract insights from data faster.
In learning Big Data process, Hadoop is important as a core module for Big Data development.
Gartner has released the top 10 data and analytics (D&A) trends for 2023. These trends can guide data and analytics leaders in anticipating change and turning huge variables into new business opportunities, thus opening up new sources of value for their enterprise organizations.
In the era of big data, data has become an important asset for enterprises and individuals, and how to extract useful information and tap potential value from massive data has become a concern for every organization and individual. As an intuitive and efficient way to display data, large visualization screen is gradually becoming the first choice of enterprises and individuals.
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.
With the increasing maturity of data analytics technology, research institutes should actively utilize data analytics tools to improve research efficiency.