Accelerate Enterprise Data Insights with Alibaba Cloud Hologres and AI Agents

Learn how to rapidly build an intelligent data analysis agent by integrating multi‑source data through Alibaba Cloud Hologres, leveraging Bailei’s AI model service and the serverless Function AI platform, covering architecture, step‑by‑step deployment, verification, and resource cleanup for cost‑effective, real‑time business insights.

Alibaba Cloud Developer
Alibaba Cloud Developer
Alibaba Cloud Developer
Accelerate Enterprise Data Insights with Alibaba Cloud Hologres and AI Agents

Introduction

In today’s data‑driven business environment, enterprises demand real‑time, accurate, and intelligent data analysis. Traditional offline pipelines and fragmented toolchains cause delayed insights and low efficiency, hindering rapid decision‑making.

This guide presents a solution that combines Alibaba Cloud real‑time data warehouse Hologres with Alibaba Cloud Bailei model service and the Function AI serverless AI application development platform to create an end‑to‑end intelligent data analysis system.

Solution Advantages

Multi‑source real‑time ingestion : Use MCP pipelines to connect Hologres with APIs, databases, and other data sources, leveraging Hologres’ high‑performance real‑time warehouse capabilities.

Lakehouse direct access acceleration : Agents can query lakehouse data directly via Hologres, bypassing traditional ETL and achieving ultra‑fast query response.

Intelligent data preprocessing : Hologres provides automated pipelines for data cleaning, format standardization, and metadata management, forming a complete data‑governance loop.

Pay‑as‑you‑go and serverless : Users only pay for actual compute usage, eliminating operational overhead and allowing focus on core business.

Solution Architecture

The architecture integrates Hologres as the real‑time data store, Bailei for large‑model inference, and Function AI for serverless deployment. This combination enables rapid model deployment without managing underlying resources.

Practical Deployment

Create a VPC and switch : Use the VPC console to create one VPC and one switch.

Create an exclusive Hologres instance : Access the Hologres console, add a new engine instance, and configure parameters.

Import public datasets : In the Hologres console, create a database, then import a public dataset through the “Public Dataset Import” workflow.

Add Hologres permissions : Add the user AliyunFcDefaultRole with all roles, grant it to the order_dw database, and confirm the authorization.

Deploy the application : Retrieve the API‑Key from Bailei, open the Function AI project template, configure as shown, and deploy.

Solution Verification

After deployment, access the provided URL, open the sample application, and run queries such as 查看与销售相关的表结构. The system returns results and visualizations, e.g., dual‑axis charts for sales analysis.

Resource Cleanup

To avoid ongoing costs, delete the Function AI project, Bailei API‑Key, Hologres instance, switch, and release the VPC.

Reference Links

VPC console: https://vpcnext.console.aliyun.com/vpc/cn-qingdao/vpcs?utm_content=g_1000404727

Hologres console: https://hologram.console.aliyun.com/cn-hangzhou/instance?utm_content=g_1000404728

Bailei model service: https://bailian.console.aliyun.com/?utm_content=g_1000404729

Function AI deployment template: https://cap.console.aliyun.com/create-project?template=hologres-ai&from=solution?utm_content=g_1000404730

Solution deployment guide: https://www.aliyun.com/solution/tech-solution-deploy/2922180?utm_content=g_1000404731

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AIReal-time analyticsHologresData IntegrationAlibaba Cloud
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