DataArts Studio Introduction
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
Process |
Description |
Task |
Helpful Link |
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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.
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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. |
Preparations |
If you access DataArts Studio for the first time, register an account with HUAWEI CLOUD, buy a DataArts Studio instance, create a workspace and a user, authorize DataArts Studio permissions to the user, and add workspace members and roles. |
Making preparations |
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Management Center |
Select cloud services for data storage, query, and analysis as required. Then, create data connections required for the cloud services. |
Creating data connections |
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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 |
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DataArts Catalog (metadata collection) |
Collect metadata of raw data for data management and monitoring. |
Collecting metadata |
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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 |
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Managing Configuration Center |
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Designing processes |
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Designing subjects |
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Managing lookup tables |
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Formulating data standards |
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Creating ER models |
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Dimensional modeling |
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Business metrics |
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Technical metrics |
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Data mart building |
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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 |
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Developing scripts |
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Developing jobs |
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Performing O&M and scheduling |
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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 cleanse and standardize data repeatedly. |
Monitoring business metrics |
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Monitoring data quality |
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DataArts Catalog (data map and permissions) |
Use DataArts Studio DataArts Catalog to manage data permissions. DataArts Catalog provides data maps. |
Data map |
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Data permissions |
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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 |
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Calling APIs |
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