Events

Events

Datometry Hyper-Q: Virtualizing the World’s Enterprise Data Warehouses

Speaker:
Lyublena Antova
Date:
Mon Oct 26, 2020 @ 05:00pm EDT
Date:
Mon Oct 26, 2020
Time:
05:00pm EDT
Location:
https://cmu.zoom.us/j/562649242?pwd=djhicnFKWHdJM1o0MlFvYzg3SzB5Zz09Zoom
Title:
Datometry Hyper-Q: virtualizing the world's enterprise data warehouses
System:
Datometry
Video:
YouTube

Talk Info:

Enterprises worldwide are looking to move their database applications to the cloud. However, conventional migration from an on-premise data warehouse to a cloud-native one is a costly, labor-intensive task, laden with many risks. According to Gartner, the majority of these migrations are late, run over budget, or fail altogether.

Datometry has developed a virtualization platform that enables applications written for an on-premises data warehouse to run on a cloud data warehouse — without major rewrites, without rearchitecting. Instead, Datometry Hyper-Q emulates all missing or diverging features in real-time. Compared to manual and/or tool-aided rewrites, virtualization has higher expressivity and can address the full spectrum of language incompatibilities.

In this talk, we present the overall architecture of such a virtualization platform and the specific challenges it needs to overcome. We will discuss prominent feature groups and the different levels of emulation they require. And, of course, we will answer the frequently asked question “is there anything virtualization cannot do?”

This talk is part of the Quarantine Database Tech Talk Seminar Series.

Zoom Link: https://cmu.zoom.us/j/562649242 (Password 264771)

Bio:

Lyublena Antova is a Senior Research Scientist at Datometry, Inc., with expertise in the areas of query optimization, metadata management and large-scale database systems. Previously, she worked at Greenplum as a founding member of the team that designed and built the Orca query optimizer. Lyublena received her B.S. in Computer Science from Sofia University (Bulgaria), her M.S. in Computer Science from Saarland University (Germany), and her Ph.D. in Computer Science from Cornell University (USA).

More Info: https://db.cs.cmu.edu/seminar2020/