12 citations · 13 across the 7 of their papers we have counts for
7 papers
Data Caching for Enterprise-Grade Petabyte-Scale OLAP
Chunxu Tang, Bin Fan, Jing Zhao +18
With the exponential growth of data and evolving use cases, petabyte-scale OLAP data platforms are increasingly adopting a model that decouples compute from storage. This shift, ev…
Rethinking the Cloudonomics of Efficient I/O for Data-Intensive Analytics Applications
Chunxu Tang, Yi Wang, Bin Fan +8
This paper explores a prevailing trend in the industry: migrating data-intensive analytics applications from on-premises to cloud-native environments. We find that the unique cost…
Metadata Caching in Presto: Towards Fast Data Processing
Beinan Wang, Chunxu Tang, Rongrong Zhong +6
Presto is an open-source distributed SQL query engine for OLAP, aiming for "SQL on everything". Since open-sourced in 2013, Presto has been consistently gaining popularity in large…
Serving Hybrid-Cloud SQL Interactive Queries at Twitter
Chunxu Tang, Beinan Wang, Huijun Wu +10
The demand for data analytics has been consistently increasing in the past years at Twitter. In order to fulfill the requirements and provide a highly scalable and available query…
CWcollab: A Context-Aware Web-Based Collaborative Multimedia System
Chunxu Tang, Beinan Wang, C. Y. Roger Chen +1
Remote collaboration tools for conferencing and presentation are gaining significant popularity during the COVID-19 pandemic period. Most prior work has issues, such as a) limited…
Forecasting SQL Query Cost at Twitter
Chunxu Tang, Beinan Wang, Zhenxiao Luo +11
With the advent of the Big Data era, it is usually computationally expensive to calculate the resource usages of a SQL query with traditional DBMS approaches. Can we estimate the c…
Taming Hybrid-Cloud Fast and Scalable Graph Analytics at Twitter
Chunxu Tang, Yao Li, Zhenxiao Luo +9
We have witnessed a boosted demand for graph analytics at Twitter in recent years, and graph analytics has become one of the key parts of Twitter's large-scale data analytics and m…