Public Cloud – Flexible Engine
Data Lake Insight (DLI) – Serverless data processing and analysis
[Features- Data Analysis]
Introduction
Data Lake Insight (DLI) is a serverless data processing and analysis service compatible with standard SQL, Spark and Flink SQL. It also supports multiple access modes, and is compatible with mainstream data formats.
Function
- DLI Core Engine: Spark and Flink: Spark is a unified analysis engine that is ideal for large-scale data processing. Flink is a distributed compute engine that is ideal for batch processing. Users can also use it for stream processing, that is, processing real-time data streams and generating data results in real time.
- Serverless Architecture: Along with providing serverless big data query and analysis services, DLI enables users to easily manage traffic spikes with auto-scaling.
Benefits
Full SQL compatibility
he SQL syntax is fully compatible with the standard ANSI SQL 2003.
Storage-compute decoupling
DLI decouples storage from computing, ensuring thus lower costs for the user while improving resource utilization.
Enterprise multi-tenancy
The user can manage any resource-related permissions by project or user, and implement fine-grained control to isolate data for each task.
Operations and Maintenance-free and high availability
DLI frees the user from complicated O&M and upgrading procedures while providing high data availability with dual-AZ deployment.