Name
Abstract | ||
|---|---|---|
In the domain of big data analytics, the bottleneck of converting storage-focused file formats to in-memory data structures has shifted from the bandwidth of storage to the performance of decoding and decompression software. Two widely used formats for big data storage and in-memory data are Apache Parquet and Apache Arrow, respectively. In order to improve the speed at which data can be loaded fr... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICFPT51103.2020.00048 | 2020 International Conference on Field-Programmable Technology (ICFPT) |
Keywords | DocType | ISBN |
Bandwidth,Metadata,Big Data,Data structures,Throughput,Encoding,Decoding | Conference | 978-1-6654-2302-1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johan Peltenburg | 1 | 2 | 3.15 |
| Lars T.J. van Leeuwen | 2 | 0 | 0.34 |
| Joost Hoozemans | 3 | 0 | 0.34 |
| Jian Fang | 4 | 186 | 18.77 |
| Zaid Al-Ars | 5 | 560 | 78.62 |
| H. P. Hofstee | 6 | 507 | 54.92 |