Spark parameter tuning via trial-and-error
P Petridis, A Gounaris, J Torres - INNS Conference on Big Data, 2016 - Springer
Spark has been established as an attractive platform for big data analysis, since it manages
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
[PDF][PDF] Spark Parameter Tuning via Trial-and-Error
P Petridis, A Gounaris, J Torres - datalab-old.csd.auth.gr
Spark has been established as an attractive platform for big data analysis, since it manages
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
[PDF][PDF] Spark Parameter Tuning via Trial-and-Error
P Petridis, A Gounaris, J Torres - ikee.lib.auth.gr
Spark has been established as an attractive platform for big data analysis, since it manages
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
[PDF][PDF] Spark Parameter Tuning via Trial-and-Error
P Petridis, A Gounaris, J Torres - delab.csd.auth.gr
Spark has been established as an attractive platform for big data analysis, since it manages
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
Spark Parameter Tuning via Trial-and-Error
P Petridis, A Gounaris - Advances in Big Data: Proceedings of the …, 2016 - books.google.com
Spark has been established as an attractive platform for big data analysis, since it manages
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
Spark Parameter Tuning via Trial-and-Error
P Petridis, A Gounaris, J Torres - arXiv preprint arXiv:1607.07348, 2016 - arxiv.org
Spark has been established as an attractive platform for big data analysis, since it manages
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
Spark Parameter Tuning via Trial-and-Error
P Petridis, A Gounaris, J Torres - arXiv e-prints, 2016 - ui.adsabs.harvard.edu
Spark has been established as an attractive platform for big data analysis, since it manages
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
Spark Parameter Tuning via Trial-and-Error
Advances in Big Data - Springer
Spark has been established as an attractive platform for big data analysis, since it manages
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
Spark parameter tuning via trial-and-error
P Petridis, A Gounaris, J Torres - … in Big Data: Proceedings of the 2nd …, 2017 - ikee.lib.auth.gr
Spark has been established as an attractive platform for big data analysis, since it manages
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
[PDF][PDF] Spark Parameter Tuning via Trial-and-Error
P Petridis, A Gounaris, J Torres - delab.csd.auth.gr
Spark has been established as an attractive platform for big data analysis, since it manages
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …
to hide most of the complexities related to parallelism, fault tolerance and cluster setting from …