High-end equipment manufacturing enterprise factory, there are many production-related equipment and various types of equipment, equipment management work more difficult.
Big Data
In order to unlock the potential of advanced visualizations that enable organizations to analyze multiple sources of information and uncover hidden patterns and trends, certain challenges of leveraging big data should be addressed.
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.
The British science and technology news media V3 recently listed 10 relevant misconceptions about big data applications.
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.
Streaming data includes a variety of data, such as log files generated by customers using your mobile or web applications, online shopping data, in-game player activity, social networking site information, financial trading floors, or geospatial services, as well as telemetry data from connected devices or instruments in your data center.
In learning Big Data process, Hadoop is important as a core module for Big Data development.
With the increasing maturity of data analytics technology, research institutes should actively utilize data analytics tools to improve research efficiency.
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.