What are the service content and scenarios?

Big Data Development Technical Support

The development support service helps customers resolve technical issues during interconnection with the big data platform. Huawei provides guidance in API calling, component selection, and key parameter configuration.

Big Data Cluster Tuning

The configuration and performance tuning services improve the performance of MRS or DLI clusters on Huawei Cloud and maximize resource utilization.

Severe Data Silos and Difficult Data Sharing

Business chains in enterprises can hardly be streamlined, resulting in severe data redundancy. The master data governance solution improves data processing efficiency by reducing manual operations, and enhances collaboration within enterprises by eliminating silos between departments and systems. The solution also helps enterprises develop unified data specifications and standards, and plan and build a management system with a clear responsibility division, a standard process, and a reasonable mode.

Lack of a Data Management System and Varying Data Quality

Rules and quality requirements can hardly be met during data creation, maintenance, and application. A data management system and a data application management process and system can be designed, and a data management organization architecture and data architecture can be built to improve data management efficiency for enterprises.

Lack of a Data Security Mechanism and Platform

Enterprises lack a data security mechanism. Permission management methods, such as cloud access security agents, identity identification, and access control, can prevent data leakage. Through data security diagnosis and planning, enterprises can develop policies, organization architectures, systems, processes, techniques, and tools for data security governance to ensure data security.

Difficult Data Integration and Unavailable Data Lifecycle Management

Data integration is costly and data cleansing is complex for enterprises. By using Huawei Cloud's cloud-native data lake which provides one-stop intelligent data storage, compute, management, and use, enterprises' data developers, application developers, data management personnel, business analysis personnel, and data scientists are able to manage the full lifecycle of data across governance, development, and O&M.