image_1.pngCopyright©2024 Yonyou Group All Rights Reserved.Without the written permission of Yonyou Group, no part of this user manual may be copied, reproduced, translated, or reduced for any purpose. The content of this user manual may change without notice, please stay informed.Please note: The content of this user manual does not represent a commitment made by Yonyou Network.OverviewApplication OverviewThe data platform module includes multiple parts such as the configuration center and the operation and maintenance center.The business system tag function is used to maintain management information and application standard statistics of business systems within the enterprise or organization. Subsequent processes can associate standards and data sources; the data source management function is used to maintain data source information within the enterprise or organization, providing a configuration basis for collecting metadata in subsequent processes; the extended attribute management includes personalized field extensions in multiple functions such as user asset directory; custom tags are used for defining personalized tags for assets.The functions of process management, my applications, and pending approvals make up the necessary features for approval. Process management allows for the definition of approval flow content, my applications can view the application forms submitted by the current user, and pending approvals display the application forms that need to be processed by the current user.The model migration feature is used to transfer developed content, such as models, data flows, metrics, etc., between different tenants through export/import methods, avoiding duplicate work and facilitating developers' use.image_2.pngOverall Application Architecture Diagram of the Data PlatformApplication ValueThe public module of the data platform mainly includes capabilities that will be used by various roles. By consolidating them, the user interaction experience can be improved.Operation GuideOverviewOverviewThe dashboard page displays various statistical indicators of the current tenant, allowing managers to quickly view the tenant's information and understand the overall product overview.Overall ValueQuick and convenient access to various metrics of tenants;Various chart forms are available to view multiple dimensions;Help users understand product capabilities.Data Platform HomepageThe homepage of the data platform provides an overview of products, product resources, and content and links to micro-classes, allowing quick access to related content pages.You can also add your frequently used applications to the quick access.Quick Understanding for New Users:Allow users to quickly understand the main features, content, or services of the website. New users can easily find the information or functions they need.Quick Application Convenience:It allows users to directly access commonly used applications of interest without the need to delve into or remember complex menu structures.User Experience:Enhance user experience, reduce navigation confusion or unclear information during use, and improve user satisfaction.Information Architecture:It shows the information architecture of the website or application, helping users understand how content is organized and categorized, facilitating more effective browsing and searching.The homepage of the data platform is of great significance for attracting and retaining users, as well as improving user experience and satisfaction.Business OverviewThe dashboard page displays various statistical indicators of the current tenant, allowing managers to quickly view the tenant's information and understand the overall product overview.Quick and convenient access to view various metrics of tenants;Various chart forms are available to view multiple dimensions;Help users understand product capabilities.Configuration CenterOverviewThe configuration center mainly implements the configuration of common capabilities, helping users complete some preparatory work, including the management of business systems, management of data sources, management of extended attributes, and management of custom tags, etc.Overall ValueDefine business system;Add a data source, configure the IP, port, and other information of the data source;Create extended attributes, configure enabled functional modules and their order;Directory and content of custom tags.Related ContentBusiness SystemData Source ManagementExtended Attribute ManagementGlobal Directory ConfigurationCustom TagsBusiness SystemThe business system functionality provides users with the ability to define and manage the business system. Users can establish the business system based on the construction status of the internal business system within the organization. The business system can be used for managing the filling of attributes in metadata and data standards, facilitating users in tracing back and accurately locating issues during the processes of metadata management and data standards construction management.Create Business SystemTo meet user-defined business systems, once a business system is created, it can be associated and referenced by metadata or data standards. The business system can continue to be edited or deleted if it is not referenced.image_3.pngThe user clicks to fill in the business system name, supervising department, and construction department. After clicking , the business system can be generated. By clicking the button, the user can edit the business system information.Click on the details to view detailed information and related objects. Click on the name of the related object to view the corresponding details.image_4.pngData Source ManagementData source management provides users with the ability to connect to business metadata, relational databases, and file data, serving as the foundational data connection for intelligent analysis, data development, and data governance.Currently, the supported data source categories include: General, Data Development (only database types supported by Data Development), and Intelligent Analysis (only data source types supported by Intelligent Analysis).GeneralThe general tab refers to the types of data sources supported by data development, data governance, and intelligent analysis. It includes the following types of data sources:[MySQL5.X], [ORACLE], [MS SQL Server], [POSTGRESQL], [GREENPLUM], [DB2], [DAMENG], [SyBase], [Hive], [ClickHouse], [Mongo], [MySQL 8.0], [OSCAR], [OpenGauss], [HNAN], [PolarDB-for MySQL].Data DevelopmentThe Data Development tab refers to the data source types specific to data development. It includes the following data source types:[Elasticsearch], [Kafka], [OSCARMPP], [MATRIXDB].The Kafka data source supports entering multiple database IP addresses and port numbers in the URL, separated by a semicolon ";".Smart AnalysisThe Intelligent Analysis tab refers to the specific data source types for data analysis. It includes the following data source types:[YonBIP], [NCCloud], [Gauss100], [HUAWEI DWS], [Kingbase], [Kylin], [Escel/SCSV], [InfluxDB], [Bigfusion], [Spark], [Hadoop], [ADB For PG], [MaxCompute].Connect YonBIP and NCCloud metadata.Intelligent analysis supports connecting to YonBIP and NCCloud metadata. Enter the "Data Source Management" feature, click , select the "Intelligent Analysis" tab, and you can choose to connect to either YonBIP or NCCloud metadata data sources, adding connection configuration information. There is a document link for metadata access specifications in the connection configuration interface.YonBIP and NCCloud connect table entities and fields through interface calls.Connect relational databases, big data data sources, and time series databases.Enter the "Data Source" feature, click , and you can choose relational databases, big data data sources, or time series databases to add connection configuration information. There is a document link for metadata access specifications in the connection configuration interface.Relational databases, big data data sources, and time series databases are connected to tables, views, and corresponding fields via JDBC.Relational Databases: [MySQL 5.X], [ORACLE], [MS SQL Server], [POSTGRESQL], [GREENPLUM], [DB2], [DAMENG], [Gauss100], [HUAWEI DWS], [Kingbase], [SyBase], [MySQL 8.0];Time Series Database: [InfluxDB];Big Data Data Sources: [Kylin], [Hive], [Bigfusion], [ClickHouse], [Spark], [Hadoop], [Phoenix], [HBase].Connect file dataEnter the "Data Source" feature, click , and you can choose file data sources, supporting the upload of xlsx, xls, and csv file data sources.File data is stored in the intelligent analysis execution database by uploading files, and then the tabs and corresponding fields of the file are retrieved.Set Object PermissionsIn the data source object list, click the <…> button to set object permissions for the data source object. This feature allows you to configure the viewing and editing permissions for the data source.Merge intelligent analysis data sources with data development data source management.When the public cloud tenant has not clicked to upgrade the tenant, the intelligent analysis and data development data sources are used separately. After upgrading the current tenant, the original "Data Platform Public > Configuration Center > Data Source Management" node changes to the merged "Data Source Management" operation interface. Only when the button is clicked on the "Data Source Management" page, and the data sources of data development are migrated, can the intelligent analysis modules view and use the data sources created in the data development data source management. Similarly, the data development modules can also view and use the data sources from intelligent analysis.image_5.pngThe left side is the directory tree for data source management;Support displaying data sources and folder contents in a list or card format;Data source management supports locating searches based on data source type, creator, updater, enabled status, keywords (data source name, connection address, user's keyword search), creation date, and update date;After the migration of the old version of data source management, a "Data Platform Data Source" directory is created by default in the directory. The data sources in the directory are visible to all members of the current tenant, and only the creator of the data source can edit its permissions.Data Source ConnectionSelect the type of database to connect to, which can be divided into six types: metadata, relational database, big data source, time series database, message queue, and file data.Connect MetadataThis feature is designed to meet the customer's needs for custom extension data sources and the way to access data through various domain metadata, serving as a means for users to access business data.Supported metadata includes: YonBIP, NCCloud.Basic ConfigurationInput data source name, link address, password, description (optional), folder.image_6.pngTest Connection: Used to test whether the data link address is connected smoothly.image_7.pngAdvanced SettingsAutomatic Identification of Object Scope: Set the object scope of the data source, including tables and views;Identify as Semantic Provider Data Source: Check this feature to automatically identify as a semantic provider data source;Enabled Status: The status of this data source; if disabled, the data source cannot be used.Previewimage_8.pngConnect relational databases, big data data sources, and time series databases.Connect to the data source via JDBC, supporting users to connect to various data types. Input the data source name, connection address, user, password, and description (optional)...
