LIDONG ZHOU: Thank you, Eliza. It’s such a pleasure to be here. STRICKLAND: You said in your keynote that progress in AI is now outpacing progress in the systems supporting AI. Can you give me some concrete examples of where the current infrastructure is struggling to keep up? ZHOU: Yeah. So actually, we have been working on supporting AI from the infrastructure perspective, and I can say, you know, there are at least three dimensions where it’s actually posing a […]

This paper was presented at the ACM SIGMOD/Principles of Database Systems Conference (opens in new tab) (SIGMOD/PODS 2024), the premier forum on large-scale data management and databases. In today’s fast-paced digital landscape, data analysts are increasingly dependent on analytics dashboards to monitor customer engagement and app performance. However, as data volumes increase, these dashboards can slow down, leading to delays and inefficiencies. One solution is to  

This paper was presented at the ACM SIGMOD/Principles of Database Systems Conference (opens in new tab) (SIGMOD/PODS 2024), the premier forum on large-scale data management and databases. As organizations grapple with ever-expanding datasets, the adoption of data lakes has become a vital strategy for scalable and cost-effective data management. The success of these systems largely depends on the file formats used to store the  

This research was presented as a demonstration at the 40th IEEE International Conference on Data Engineering (opens in new tab) (ICDE 2024), one of the premier conferences on data and information engineering. Since the inception of cloud computing, autoscaling has been an essential technique for optimizing resources and performance. By