DataArts Studio development process

DataArts Studio is a one-stop data operations platform that provides intelligent data lifecycle management. It supports intelligent construction of industrial knowledge libraries and incorporates data foundations such as big data storage, computing, and analysis engines. With DataArts Studio, your enterprise can easily construct end-to-end intelligent data systems. These systems can help eliminate data silos, unify data, accelerate data monetization, and promote digital transformation.

DataArts Studio Development Process

To use DataArts Studio, perform the following steps:

**Table 1** DataArts Studio development process
Process	Description	Task	Helpful Link
Process design	Before using DataArts Studio, you are advised to analyze your business, clarify requirements, and design a process based on the capabilities provided by DataArts Studio. Analyze requirements. Analyze your business, clarify requirements, and obtain the data governance framework to facilitate the design of a data governance process. Conduct a survey. Determine the capability boundary of DataArts Studio and analyze the subsequent service load. Design a process. Design the data governance process based on the business status and the capabilities of DataArts Studio. The process covers all the subsequent data governance operations.	Requirement analysis Business survey Process design	The process design is closely related to your business. You can design a process by referring to Data Governance Based on Taxi Trip Data. You can learn more by contacting us.
Obtaining and configuring a DataArts Studio instance	If you are new to DataArts Studio, register an account with Huawei, buy a DataArts Studio instance, and create a workspace.	Obtaining and configuring a DataArts Studio instance	Buying and Configuring a DataArts Studio Instance
Creating an IAM user and assigning DataArts Studio permissions	If you want to authorize other IAM users to use DataArts Studio, you need to create users and assign DataArts Studio permissions to them.	Creating an IAM user and assigning DataArts Studio permissions	Authorizing Users to Use DataArts Studio
Management Center	Select cloud services for data storage, query, and analysis as required. Then, create data connections required for the cloud services.	Creating a data connection	Creating a DataArts Studio Data Connection
DataArts Migration	Use DataArts Studio to upload data from data sources to the cloud. DataArts Migration migrates data between homogeneous and heterogeneous data sources such as self-built and cloud-based file systems, relational databases, data warehouses, NoSQLs, big data cloud services, and object storage.	Integrating data	Supported Data Sources Creating a CDM Cluster Creating a Link Between CDM and a Data Source Table/File Migration Jobs
DataArts Catalog (metadata collection)	Collect metadata of raw data for data management and monitoring.	Collecting metadata	Collecting Metadata of Data Sources
DataArts Architecture	Use DataArts Architecture to create entity-relationship (ER) models and dimensional models to standardize and visualize data development and output data governance methods that can guide development personnel to work with ease. In DataArts Architecture, you can create dimensions, fact tables, summary tables, and metrics that fit your needs.	Adding reviewers	Adding a Reviewer
		Managing Configuration Center	Managing the Configuration Center
		Designing processes	Designing Processes
		Designing subjects	Designing Subjects
		Managing lookup tables	Creating a Lookup Table
		Formulating data standards	Creating Data Standards
		Creating ER models	ER Modeling
		Dimensional modeling	Dimensional Modeling
		Business metrics	Business Metrics
		Technical metrics	Technical Metrics
		Data mart building	Data Mart
DataArts Factory	Use DataArts Factory to manage diverse big data services. The one-stop big data development environment enables a variety of operations such as data management, data integration, script development, job development, job scheduling, O&M, and monitoring, facilitating data analysis and processing.	Managing data	Data Management Process
		Developing scripts	Script Development Process
		Developing jobs	Job Development Process
		Performing O&M and scheduling	Overview
DataArts Quality	Use DataArts Quality to monitor business and technical metrics. Screen out unqualified data in a single column or cross columns, rows, and tables from the following perspectives: integrity, validity, timeliness, consistency, accuracy, and uniqueness. Use the automatically generated quality rules to standardize data repeatedly.	Monitoring business metrics	Creating a Metric Creating a Rule Creating a Scenario
DataArts Quality		Monitoring data quality	Creating a Data Quality Rule Creating a Data Quality Job Creating a Data Comparison Job
DataArts Catalog (data map and permissions)	Use DataArts Studio DataArts Catalog to manage data permissions. DataArts Catalog provides data maps.	Data map	Viewing Data Assets in a Workspace
DataArts Catalog (data map and permissions)		Data permissions	Overview
DataArts DataService	Use DataArts DataService to centrally manage API services, create data APIs based on tables, and register APIs with DataArts DataService itself for unified management and publication.	Developing APIs	Buying and Managing an Exclusive Cluster Creating a Reviewer in DataArts DataService Creating an API Debugging an API Publishing an API Managing APIs Orchestrating APIs Configuring a Throttling Policy for API Calling Authorizing API Calling
DataArts DataService		Calling APIs	Applying for API Authorization Calling APIs Using Different Methods