Sentence examples for big data analytics system from inspiring English sources

From the analysis framework perspective, this table shows that big data framework, platform, and machine learning are the current research trends in big data analytics system.

The relevant technologies for compression, sampling, or even the platform presented in recent years may also be used to enhance the performance of the big data analytics system.

The hardware, bandwidth for data transmission, fault tolerance, cost, power consumption of these systems are all issues [70, 104] to be taken into account at the same time when building a big data analytics system.

A promising trend that can be easily found from these successful examples is to use machine learning as the search algorithm (i.e., mining algorithm) for the data mining problems of big data analytics system.

This usually plays vital roles in big data analytics system, one of which is to simplify the explanation of the needed knowledge to the users while the other is to make it easier for the users to handle the data analytics system to work with their opinions.

Moreover, most benchmarks for evaluating the performance of big data analytics typically can only provide the response time or the computation cost; however, the fact is that several factors need to be taken into account at the same time when building a big data analytics system.

Big data analytics systems should have enough memory, bandwidth and the capacity to perform parallel processing of tasks in real-time.

Since most big data analytics systems will be designed for parallel computing, and they typically will work on other systems (e.g., cloud platform) or work with other systems (e.g., search engine or knowledge base), the communication between the big data analytics and other systems will strongly impact the performance of the whole process of KDD.

The benchmarks of PigMix [130], GridMix [131], TeraSort and GraySort [132], TPC-C, TPC-H, TPC-DS [133], and yahoo cloud serving benchmark (YCSB) [134] have been presented for evaluating the performance of the cloud computing and big data analytics systems.

Nodeable wants to combine big data analytics, systems management and social communications in such a way that a social layer is added to an analytics platform to give users an interface that feels like a social networking site, but still allows businesses to manage the complexities of data management.

Fig. 7 The basic idea of big data analytics on cloud system.