Beinan Wang

As data lakes scale in complexity and size, companies face challenges with slow and inconsistent data access, rapidly growing storage costs, and high operation costs when migrating to the cloud.

Join us for a session on how Iceberg is transforming the data landscape with its innovative features, growing adoption, and open-source java toolkit. Learn how watsonx.data leverages Apache Iceberg to support multiple engines and deliver a seamless data experience. Next, Beinan will present a case s

Presto users and developers often face challenges like slow, inconsistent query performance and high API and egress costs when using cloud storage like S3. In this talk, Beinan and Hope will share how to overcome these challenges using caching in Presto. They will discuss the distributed caching des

Dealing with I/O Bottlenecks in High Throughput Model Training - Jan Sellner, German Cancer Research Center Have you ever faced the problem of low GPU utilization due to data loading bottlenecks? I/O heavy workloads require optimized data loading strategies as otherwise the GPU usage is suboptimal...

Shengxuan Liu from ByteDance and Beinan Wang from Alluxio will present the practical problems and interesting findings during the launch of Presto Router and Alluxio Local Cache. Their talk covers how ByteDance's Presto team implements the cache invalidation and dashboard for Alluxio’s Local Cache.

While using the Presto Iceberg connector, the in-heap cache in Presto is likely overloaded. In this talk, Beinan and Chunxu will share the design, implementation, and optimization of the off-heap cache to address the scalability challenges. You will learn how to cache Iceberg data and metadata for t

At Uber, Presto is heavily used as one of the primary data analytics tools, and Presto's query performance has profound production impact at Uber. As part of the Presto optimization effort, we turned to explore Alluxio as a caching solution. Alluxio is an open source data orchestration platform ofte

Apache Iceberg is an open table format for huge analytic datasets. The Presto Iceberg connector consolidates the SQL engine and the table format, to empower high-performant data analytics. Here, Beinan and Chunxu would like to discuss and share the architectural design of the Presto Iceberg connecto

At Twitter, engineers are maintaining 9 on-prem/on-cloud Presto clusters with over 3000 nodes. With the experience of developing and maintaining these clusters, Beinan and Chunxu would like to share the stories of team efforts to develop the Presto-Druid connector, empowering SQL queries for real-ti