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GB/T 38643-2020 English PDF

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GB/T 38643-2020: Information technology - Big data - Functional testing requirements for analytic system
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Basic data

Standard ID: GB/T 38643-2020 (GB/T38643-2020)
Description (Translated English): Information technology - Big data - Functional testing requirements for analytic system
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: L67
Classification of International Standard: 35.240
Word Count Estimation: 30,317
Date of Issue: 2020-04-28
Date of Implementation: 2020-11-01
Quoted Standard: GB/T 37721-2019
Issuing agency(ies): State Administration for Market Regulation, China National Standardization Administration
Summary: This standard specifies the functional testing requirements for the data preparation module, analysis support module, data analysis module, and process orchestration module of the big data analysis system. This standard applies to guide the design, development and delivery of big data analytics systems.

GB/T 38643-2020: Information technology - Big data - Functional testing requirements for analytic system

---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
Information technology - Big data - Functional testing requirements for analytic system ICS 35.240 L67 National Standards of People's Republic of China Information Technology Big Data Analyze system function test requirements 2020-04-28 released 2020-11-01 implementation State Administration for Market Regulation Issued by the National Standardization Management Committee

Foreword Ⅰ 1 Scope 1 2 Normative references 1 3 Terms and definitions 1 4 Abbreviations 1 5 Overview 2 6 Data preparation module function test 2 6.1 Data extraction function test 2 6.2 Data cleaning function test 2 6.3 Data conversion function test 2 6.4 Data loading function test 3 7 Analysis support module function test 3 7.1 Query function test 3 7.2 Machine learning function test 3 7.3 Statistical analysis function test 4 7.4 Visual function test 4 8 Data analysis module function test 4 8.1 Analysis mode test 4 8.2 Analysis type test 5 9 Function Test of Process Orchestration Module 6 9.1 Workflow Management Test 6 9.2 Alarm and log test 6 Appendix A (informative appendix) Test example 7 Information Technology Big Data Analyze system function test requirements

1 Scope

This standard specifies the functions of the data preparation module, analysis support module, data analysis module, and process planning module of the big data analysis system. Can test requirements. This standard is applicable to guide the design, development and delivery of big data analysis systems.

2 Normative references

The following documents are indispensable for the application of this document. For dated reference documents, only the dated version applies to this article Pieces. For undated references, the latest version (including all amendments) applies to this document. GB/T 37721-2019 Information technology big data analysis system functional requirements

3 Terms and definitions

The following terms and definitions defined in GB/T 37721-2019 apply to this document. 3.1 Big data analysis system On the basis of the original data and calculation framework provided by the big data storage and processing system, a system that integrates a series of tools used in the data analysis life cycle process.

5 overview

This standard provides corresponding test requirements based on the functional requirements of the big data analysis system specified in GB/T 37721-2019.Test shows See Appendix A for examples.

6 Data preparation module function test

6.1 Data extraction function test The data extraction function test requirements are as follows. a) It should be tested whether the data preparation module of the big data analysis system supports the extraction of data stored in the storage system as required; b) It should be tested whether the data preparation module of the big data analysis system provides different extraction methods for structured data and unstructured data; c) It should be tested whether the data preparation module of the big data analysis system provides full extraction and incremental extraction modes; d) It should be tested whether the data preparation module of the big data analysis system supports active extraction and passive addition; e) It should be tested whether the data preparation module of the big data analysis system supports regular batch extraction; f) Should test whether the data preparation module of the big data analysis system supports distributed data extraction, and test whether load balancing is achieved in the data extraction process. 6.2 Data cleaning function test The data cleaning function test requirements are as follows. a) Whether the data preparation module of the big data analysis system supports data consistency should be tested; b) It is necessary to test whether the data preparation module of the big data analysis system supports the processing of invalid values by deleting and correcting invalid data values; c) It is necessary to test whether the data preparation module of the big data analysis system supports the processing of missing values through operations such as filling in missing values or deleting data entries corresponding to missing values; d) It is necessary to test whether the data preparation module of the big data analysis system supports the processing of duplicate data through operations such as merging or deleting duplicate data; e) It should be tested whether the data preparation module of the big data analysis system provides the data comparison function before and after cleaning; f) It should be tested whether the data preparation module of the big data analysis system supports logical contradictions, correlation verification, and cleaning of unreasonable data. 6.3 Data conversion function test The data conversion function test requirements are as follows. a) The column conversion operation of structured data should be used to test whether the data preparation module of the big data analysis system supports the conversion of structured data columns; b) It is necessary to test whether the data preparation module of the big data analysis system supports the conversion of structured data through the conversion operation of the structured data; c) Test whether the data preparation module of the big data analysis system supports structured data table conversion by performing table conversion operations on structured data; d) It should be tested whether the data preparation module of the big data analysis system supports the structured processing of unstructured data; e) It should be tested whether the data preparation module of the big data analysis system supports the standardized processing of text and web data, and whether it supports the conversion of document data into a single standardized form; f) Voice and audio input should be used to test the accuracy of input recognition results and test whether the data preparation module of the big data analysis system Support the recognition and processing of voice/audio data; g) Image input should be used to test the accuracy of input recognition results and test whether the data preparation module of the big data analysis system supports the extraction of image information. 6.4 Data loading function test The data loading function test requirements are as follows. a) It should be tested whether the data preparation module of the big data analysis system supports loading the cleaned and converted data into the big data analysis system; b) Input the converted data into the target structure according to the loaded target structure, and test whether the data preparation module of the big data analysis system supports full loading; c) When data already exists in the target structure, new data should be added on the basis of saving the existing data to test the big data analysis Whether the system data preparation module supports incremental loading; d) It should be tested whether the data preparation module of the big data analysis system supports real-time loading or batch loading.

7 Analysis support module function test

7.1 Query function test 7.1.1 Query interface test The query interface test requirements are as follows. a) It should be tested whether the analysis support module of the big data analysis system supports query through the standard database connection interface; b) It should be tested whether the analysis support module of the big data analysis system supports the RESTAPI query interface for query. 7.1.2 Query optimization test The query optimization test requirements are as follows. a) The data index should be established to test whether the analysis support module of the big data analysis system achieves the effect of query acceleration; b) It should be tested whether the analysis support module of the big data analysis system supports accurate query and fuzzy query; c) It should be tested whether the analysis support module of the big data analysis system supports rule-based or cost-based query optimization; d) It should be tested whether the analysis support module of the big data analysis system supports data fragmentation and multiple copy technology; e) It should be tested whether the analysis support module of the big data analysis system supports complex conditions and high concurrent queries through SQL; f) It should be tested whether the analysis support module of the big data analysis system supports secondary index. 7.2 Machine learning function test 7.2.1 Data set management function test The data set management function test requirements are as follows. a) It should be tested whether the analysis support module of the big data analysis system can divide the input data into training set, verification set and test set; b) Import the trained and verified model into the big data analysis system, and import the model trained in the big data system. To test whether the analysis support module of the big data analysis system provides the function of importing and exporting machine learning models. 7.2.2 Support algorithm test The requirements for supporting algorithm testing are as follows. a) It should be tested whether the analysis support module of the big data analysis system supports regression and classification algorithms; b) Test whether the analysis support module of the big data analysis system supports clustering algorithms; c) It should be tested whether the analysis support module of the big data analysis system supports the collaborative filtering algorithm; d) Whether the analysis support module of the big data analysis system supports dimensionality reduction algorithms should be tested; e) It should be tested whether the analysis support module of the big data analysis system supports frequent pattern mining algorithms; f) Whether the analysis support module of the big data analysis system supports neural network algorithms should be tested; g) It should be checked whether it has feature extraction, feature conversion, feature selection, model selection, cross-validation, model tuning component testing The data analysis system analyzes whether the support module provides other components of the machine learning process; h) It should be tested whether the analysis support module of the big data analysis system supports one or more languages such as Java, Scala, Python, R, etc., and is Whether to support the secondary development to add new operators. 7.2.3 Model evaluation function test The big data analysis system analysis support should be tested by checking the core evaluation components such as cross-validation and model selection in the machine learning module Whether the module can support the evaluation module of the algorithm model. 7.3 Statistical analysis function test The statistical analysis function test requirements are as follows. a) The analysis support module of the big data analysis system should be tested by calculating the maximum, minimum, sum, total and other statistics. Numerical statistics of this book; b) The analysis support module of the big data analysis system should be tested by calculating the average, median, mode and other statistics to test whether the analysis support module supports data analysis Statistics of central tendency; c) The analysis support module of the big data analysis system should be tested by calculating the range, variance, standard deviation and other statistics. Statistics of the degree of dispersion; d) It is necessary to test whether the analysis support module of the big data analysis system supports the analysis of multiple random variables by calculating covariance, correlation coefficient and other statistics. The relationship between machine variables; e) Test whether the analysis support module of the big data analysis system supports the customization of statistical analysis by saving commonly used statistical analysis schemes Template capabilities. 7.4 Visual function test The visual function test requirements are as follows. a) The analysis support module of the big data analysis system should be tested by inputting in Excel, relational database, JSON, and XML format. Support common data source data format as input; b) Test whether the analysis support module of the big data analysis system supports the visual display of high-dimensional data; c) It should be checked whether the analysis support module of the big data analysis system can be displayed in the form of histogram, pie chart, line chart, etc. Support visual analysis tool library; d) It should be tested whether the analysis support module of the big data analysis system supports visualization tools related to the evaluation of algorithm models.

8 Data analysis module function test

8.1 Analysis mode test 8.1.1 Offline data analysis function test The offline data analysis function test requirements are as follows. a) It should be tested whether the data analysis module of the big data analysis system supports structured query language; b) It should be tested whether the data analysis module of the big data analysis system supports distributed analysis of offline data; c) It should be tested whether the data analysis module of the big data analysis system has the ability to support third-party applications through standard interfaces; d) It should be tested whether the data analysis module of the big data analysis system supports a computing framework such as distributed computing or parallel computing; e) It should be tested whether the data analysis module of the big data analysis system supports the segmentation and distributed scheduling of massive work tasks; f) It should be tested whether the data analysis module of the big data analysis system supports the integration of third-party machine learning algorithm libraries; g) Test whether the data analysis module of the big data analysis system supports the use of memory or SSD storage as a cache; h) It should be tested whether the data analysis module of the big data analysis system supports optimization at the distributed execution plan level; i) It should be tested whether the data analysis module of the big data analysis system supports the analysis of text, audio and video, and image data; j) It should be tested whether the data analysis module of the big data analysis system supports data sources in relational databases and big data storage systems. The ability to perform cross-query, aggregation, and related operations; k) It should be tested whether the data analysis module of the big data analysis system supports the use of GPU to accelerate analysis of specific algorithms. 8.1.2 Stream data analysis function test The streaming data analysis function test requirements are as follows. a) It should be tested whether the data analysis module of the big data analysis system supports batch processing after time slice; b) It should be tested whether the data analysis module of the big data analysis system supports stream processing based on event triggering or sampling; c) It should be tested whether the data analysis module of the big data analysis system supports data statistics on real-time streams; d) It should be tested whether the data analysis module of the big data analysis system supports the sorting of streaming data; e) It should be tested whether the data analysis module of the big data analysis system supports the association with the static table; f) It should be tested whether the data analysis module of the big data analysis system supports the associated processing of multiple data streams; g) Test whether the data analysis module of the big data analysis system supports real-time analysis tasks using sliding windows, and test the time Whether the window size is adjustable; h) It should be tested whether the data analysis module of the big data analysis system supports real-time data grouping and priority scheduling; i) It should be tested whether the data analysis module of the big data analysis system supports the analysis of text, audio and video, and image data. 8.1.3 Interactive online analysis function test The interactive online analysis function test requirements are as follows. a) It should be tested whether the data analysis module of the big data analysis system supports distributed online data through structured query language analysis; b) It should be tested whether the data analysis module of the big data analysis system supports ad hoc query of data through structured query language; c) It should be tested whether the data analysis module of the big data analysis system supports the use of visualization middleware to display the data analysis results; d) It should be tested whether the data analysis module of the big data analysis system supports the definition of calculation formulas and parameter configurations in the interactive analysis process; e) It should be tested whether the data analysis module of the big data analysis system supports automatic saving and rollback of the interactive analysis process; f) It should be tested whether the data analysis module of the big data analysis system supports the preservation and release of analysis results during the interactive analysis process; g) It should be tested whether the data analysis module of the big data analysis system supports interactive data analysis based on online online analysis; h) It should be tested whether the data analysis module of the big data analysis system supports the analysis of unstructured data. 8.2 Analysis type test 8.2.1 Predictive analysis function test The requirements for predictive analysis function testing are as follows. a) It should be tested whether the data analysis module of the big data analysis system supports multiple forecasting analysis methods such as trend forecasting and regression analysis; b) It should be tested whether the data analysis module of the big data analysis system supports the presentation of the accuracy rate in the form of percentage digitization, and whether it is accurate At least 1 digit after the decimal point; c) It should be tested whether the data analysis module of the big data analysis system supports the use of visualization to display the analysis results; d) It should be tested whether the data analysis module of the big data analysis system supports the release and application of the trained model. 8.2.2 Descriptive analysis function test Descriptive analysis function test requirements are as follows. a) It should be tested whether the data analysis module of the big data analysis system supports the use of correlation analysis methods for descriptive analysis; b) It should be tested whether the data analysis module of the big data analysis system supports visual display of the analysis results of sample data, and whether it supports display The model training effect, whether it supports the storage and release of the trained model; c) It should be tested whether the data analysis module of the big data analysis system supports a good visual presentation of the analysis results.

9 Functional Test of Process Orchestration Module

9.1 Workflow management test The workflow management test requirements are as follows. a) Operations such as process planning and revision should be carried out by drag and drop to test whether the process planning module of the big data analysis system supports visualization ......

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Tips & Frequently Asked Questions:

Question 1: How long will the true-PDF of GB/T 38643-2020_English be delivered?

Answer: Upon your order, we will start to translate GB/T 38643-2020_English as soon as possible, and keep you informed of the progress. The lead time is typically 3 ~ 5 working days. The lengthier the document the longer the lead time.

Question 2: Can I share the purchased PDF of GB/T 38643-2020_English with my colleagues?

Answer: Yes. The purchased PDF of GB/T 38643-2020_English will be deemed to be sold to your employer/organization who actually pays for it, including your colleagues and your employer's intranet.

Question 3: Does the price include tax/VAT?

Answer: Yes. Our tax invoice, downloaded/delivered in 9 seconds, includes all tax/VAT and complies with 100+ countries' tax regulations (tax exempted in 100+ countries) -- See Avoidance of Double Taxation Agreements (DTAs): List of DTAs signed between Singapore and 100+ countries

Question 4: Do you accept my currency other than USD?

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