Commoditizing Data Analytics in the Cloud
The goal of this ERC-funded project is to commoditize large-scale data analytics in the cloud.
As a commodity, data analytics should be as cheap and readily available as electricity, meaning:
- The cost of analytics should be close to the theoretical minimum: the hardware cost.
- Data can be moved easily between clouds and systems.
To achieve this, we are designing and developing an open and cost-efficient analytical data analytics system for the cloud.
Publications
Venue | Publication | Link |
---|---|---|
SIGMOD 2025 | High-Performance Query Processing with NVMe Arrays: Spilling without Killing Performance Maximilian Kuschewski, Jana Giceva, Thomas Neumann, Viktor Leis | |
CIDR 2024 | A Critique of Modern SQL And A Proposal Towards A Simple and Expressive Query Language Thomas Neumann, Viktor Leis | pdf code demo |
SIGMOD 2023 | BtrBlocks: Efficient Columnar Compression for Data Lakes | |
VLDB 2023 | Cloud Analytics Benchmark Alexander van Renen, Viktor Leis | |
VLDB 2021 | Towards Cost-Optimal Query Processing in the Cloud Viktor Leis, Maximilian Kuschewski | pdf code |