Data Lake Insight
Data Lake Insight (DLI) is a serverless big data compute and analysis service that is fully compatible with Apache Spark and Apache Flink ecosystems and supports batch streaming. With multi-model engines, enterprises can use SQL statements or programs to easily complete batch processing, stream processing, in-memory computing, and machine learning of heterogeneous data sources.
Progressive Knowledge
DLI knowledge for users from beginner level to expert level
01
Understand
Get to know the basic functions, application scenarios, concepts, and usage restrictions of DLI.
Service Overview
03
Start
Start to explore DLI after purchasing queues.
Before You Start
Quick Start
05
Practice
Get more info of the application scenarios and operation procedures of DLI.
Driving Behavior Data Analysis in IoV Scenarios
07
APIs & SDK
Build your skills with open APIs and SDKs.
API Reference
SDK Reference
02
Purchase
With DLI, you can submit SQL, Flink, and Spark jobs. Learn the pricing details of DLI jobs for the most cost-effective choice.
Price Details
04
Be a Power User
Find out the functions and common SQL syntax of the DLI management console. Learn how to view DLI monitoring metrics and audit logs at all times.
Management Console
SQL Syntax Reference
O&M and Monitoring
06
Development Skills
Prepare to interconnect with DLI using clients or third-party BI tools and analyze data through DLI datasource connections.
DLI Client Operation Guide
Connecting the Third-party BI Tool to the DLI
Developing a DLI Datasource Connection Using a Spark Job
FAQs
Learn more about common issues and solutions.
General FAQs
Problems Related to SQL Jobs
Problems Related to Datasource Connections
Problems Related to Spark Jobs
Problems Related to Flink Jobs
Technical Topics
Technologies, expert opinions, and courses