GB/T 36345-2018Information technology—General data import interface (English PDF)

3.1 Big data

The main features of large data volume, high data speed, various data types, and/or data variability require the use of scalable technologies. Large-scale data sets for efficient storage, manipulation, management, and analysis.

Note 1. Big data is usually used in different ways. For example, it can be used as a synonym for extensible technologies that deal with large data sets of large data.

Note 2. Big data is usually a collection of one or more problems.

a) Data types. navigation, query and input problems of irregular or heterogeneous data;

b) Data volume. Parallel computing, storage, and management issues needed to process large data sets;

c) Data validity/authenticity. descriptive data and self-querying questions about real-time decision objects;

d) data speed. data arrival rate problem;

e) Data visualization. Presentation and aggregation of data sets. [GB/T 35295-2017, definition 2.1.1]

3.2 Dynamic data

In an active state, its typical characteristics are the speed of the big data and the data of the variability characteristics.

Note: They are transmitted on the network or temporarily reside in the computer's memory for reading or updating. They are processed and analyzed in real time or near real time. [GB/T 35295-2017, definition 2.1.36]

3.3 Static data

At rest, its typical characteristics are the data of the mass and diversity characteristics of big data.

Note: They are usually data stored in physical media. [GB/T 35295-2017, definition 2.1.37]