PPT 下载：
How Pinterest Delivers Fast Customer-Facing Analytics.pdf (6.4 MB)
Leveraging Big Data Infra for Shopee’s E-commerce Online Applications.pdf (1.1 MB)
StarRocks @ Grab.pdf (2.7 MB)
Query-Resilience-Achieving-Low-Latency-with-SLA.pptx (6.0 MB)
视频回放：https://space.bilibili.com/1273141509/lists/3059098?type=season
Agenda
6:00 PM-6:30 PM Food, Drinks & Networking
6:30-7:00 Leveraging Big Data Infra for Shopee’s E-commerce Online Applications
Speakers:
Chen Gong, Senior Expert Engineer, Shopee
Yan Duan, StarRocks Active Contributor & Senior OLAP Engineer, Shopee
Highlights:
- Challenges of integrating big data with Shopee’s online services
- Using StarRocks materialized views for faster queries
- Improving metadata cache
7:00-7:30 Grab
Speakers:
Gable Heng, Lead Data Engineer, Grab
Huong Vuong, Senior Software Engineer, Grab
Highlights:
- Improving BI and Dashboarding query performance at Grab
- How Starrocks integrates with Grab’s Datalake
- Use Case: Building a Spark observability platform on StarRocks
7:30-8:00 How Pinterest Delivers Fast Customer-Facing Analytics
Speaker: Zhenxiao Luo, Senior Staff Software Engineer
Highlights:
- The challenges and requirements for customer-facing analytics at Pinterest
- Scaling analytics infrastructure and supporting real-time data demands
- Optimized performance and cost savings
8:00-8:15 Query Resilience: Low latency with SLA for customer-facing analytics
Speaker: Harrison Zhao, StarRocks TSC Member & Head of Data, Celerdata
- Why Low latency with SLA is essential for customer-facing analytics
- How StarRocks improves Query Resilience from both query and storage layer
- What’s Coming in StarRocks 2025
8:15-8:30 Additional Q&A / Networking