Examples of using Big data applications in English and their translations into Chinese
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BigInsights makes it simpler for Hadoop to get value out of big data and building big data applications.
Artificial Intelligence and Machine Learning- Finally, consider how innovative the various big data applications vendors are.
CDAP(Cask Data Access Platform) is a framework running on top of Hadoop that abstracts away the complexity of building and running big data applications.
Recommender systems are considered one of the classic Machine Learning and Big Data applications.
Over the past few years, we have seen an increase in organizations that are developing, testing, and deploying big data applications in cloud environments.
New big data applications that are running in non-traditional HPC environments but that use HPC hardware, such as in the finance or cyber security sectors.
Cloud-based big data applications are popular for several reasons, including scalability and ease of management.
This need for scalability is one of the key reasons why cloud-based big data applications have become very popular.
Big Data applications in education help to measure the effectiveness of teachers to ensure a good experience for teachers and students.
Digital outdoor media big data applications also makes outdoor advertising can be more accurate and flexible.
As it gains mainstream acceptance, the big data applications it supports will become more accessible.
Big data applications today must be built to provide real-time results for businesses to compete in today's fast-moving marketplace.
Big data applications emphasize the use of new concepts to help decision making, discover new knowledge and optimize online closed loop business processes.
In so many Big Data applications, a math model attaches a crisp number to human behavior, interests and preferences.
In sum, the need for more computing power continues as businesses deploy new big data applications and enhance existing systems.
That product proliferation can make it difficult for organizations to find the right big data applications to meet their needs.
Enterprise Control Language, or ECL, is the language developers use for creating big data applications on the HPCC platform.
With over ten million API calls per year, the group is now starting to create new Big Data applications in other fields of health.
Support- Even experienced IT professionals sometimes find it difficult to deploy, maintain and use complex big data applications.
Researchers at MIT, however, have built a server network that proves for big data applications, flash is just as fast as RAM and vastly cheaper.