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OLAP & Data Analysis

Track Chairs
Mingyu Chen Zhijing Lu Dianjin Wang
Sessions
8
Room
Mtn BaiWang Hall

With the advent of the big data era, the application of data analysis and OLAP technology in enterprises is becoming more and more widespread. In order to promote communication and sharing in this field in the industry, we have set up the OLAP and Data Analysis Track. We hope to invite experts and scholars in the industry to share their research results, practical experience, and latest developments in data analysis and OLAP technology.

In ASF, there are various projects about OLAP and data analysis, for example: Apache Doris, Apache Druid, Apache Kylin, Apache Pinot, Apache Impala, Apache Calcite, Apache Cloudberry (Incubating), etc.

The topic can cover research progress, application cases, best practices, performance optimization, and other aspects of data analysis and OLAP technology. We believe it will greatly bring great benefits to the attendees.

Agenda

2026-08-07 Full schedule →
  1. 14:00GMT+8
  2. 14:30GMT+8
  3. 15:00GMT+8
    Efficient metadata caching in Apache Impala
    Csaba Ringhofer, Noémi Pap-Takács
    Mtn BaiWang Hall English Session
  4. 15:45GMT+8
  5. 16:15GMT+8
    Iceberg v3 in Impala: Puffin and Deletion Vectors
    Péter Rózsa, Zoltán Borók-Nagy
    Mtn BaiWang Hall English Session
  6. 16:45GMT+8
  7. 17:15GMT+8
    Is Parquet Dead? The Evolution of a Columnar Giant in the AI Era
    Gang Wu, Zehua Zou
    Mtn BaiWang Hall Chinese Session
2026-08-08 Full schedule →
  1. 14:00GMT+8