Data Warehouse Service (DWS) provides a scalable, fully hosted, and out-of-the-box data warehouse. It is compatible with the PostgreSQL ecosystem and supports standard SQL statements and BI tools to help you economically and efficiently mine and analyze massive volumes of data, greatly reducing your cost.
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Secure and Reliable
DWS protects the data warehouse system and user data privacy and offers first-class security. HA design of DWS ensures high reliability of data and the system.
Easy to Use
A unified console helps you easily manage data warehouses and focus on data and service. Additionally, DWS provides sample data and tools to help you get started quickly.
DWS provides second-level correlation analysis of trillions of data records and delivers OLAP analysis, data mining, and self-service analysis capabilities.
Various Import Modes
You can import data from OBS and MRS (HDFS). Working with DIS, DWS helps you quickly and conveniently import stream data using mainstream third-party ETL tools and CDM.
The data warehouse is the pillar of the BI system for processing massive volumes of data. It provides powerful business analysis support for IoT, mobile Internet, and gaming.
Efficient and real-time data import in batches from multiple data sources
Cost-effective PB-level data storage and second-level response to correlation analysis of trillions of data records
Real-time consolidation of service data for timely optimization and adjustment of operation decision-making
Huawei Vmall leverages DWS as its data warehouse. Data of online retailers is mainly used for marketing recommendation, operating analysis, and full text search.
Analysis from commodities, users, operation, and regions
On-demand cluster scale-out as the business grows
Long-term stable running of the E-commerce system
DWS helps you analyze massive volumes of data in real time. It is widely used in industrial IoT, O2O service system, and IoV solution.
Batch import of stream data from IoT devices and the gateway to DWS using DIS
ODevice monitoring, control, optimization, supply, self-diagnosis, and self-healing based on data analysis and prediction
Tailed recommendation based on data of users' connected devices
Provides various functions to improve the reliability of data warehouse clusters.
Provides high-performance data warehouses dedicated for enterprises.
Supports comprehensive SQL capabilities and smooth application migration.
Controls service usage and status.