We are excited to invite the data platform team of TikTok to talk about how they use Apache Doris in their real-time data architecture and how they benefit from it, which could serve as a model for effective real-time data warehousing.

During the development of version 3.0, over 200 contributors submitted nearly 5,000 optimizations and fixes to Apache Doris. Contributors from companies such as VeloDB, Baidu, Meituan, ByteDance, Tencent, Alibaba, Kwai, Huawei, and Tianyi Cloud actively collaborated with the community, contributing test cases from real-world use cases to help us improve Apache Doris. We extend our heartfelt thanks to all the contributors involved in the development, testing, and feedback process for this release.

On October 24 ("1024"), a day that resonates with tech enthusiasts, the Apache Doris community came together for an engaging meetup in Singapore. It was a great opportunity for data enthusiasts and professionals to connect, share insights, and explore the latest developments in the world of big data and analytics.