Supercharging distributed computing environments for high-performance data engineering
The data engineering and data science community has embraced the idea of using Python and R dataframes for regular applications. Driven by the big data revolution and artificial intelligence, these frameworks are now ever more important in order to process terabytes of data. They can easily exceed t...
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| Published in: | Frontiers in high performance computing Vol. 2 |
|---|---|
| Main Authors: | , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
12.07.2024
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| ISSN: | 2813-7337, 2813-7337 |
| Online Access: | Get full text |
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