Interacting with large distributed datasets using Sketch

Mihai Budiu; Rebecca Isaacs; Derek Murray; Gordon Plotkin; Paul Barham; Samer Al-Kiswany; Yazan  Boshmaf; Qingzhou Luo; Alexandr Andoni

Interacting with large distributed datasets using Sketch

Mihai Budiu, Rebecca Isaacs, Derek Murray, Gordon Plotkin, Paul Barham, Samer Al-Kiswany, Yazan Boshmaf, Qingzhou Luo, Alexandr Andoni

Qatar Computing Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We present Sketch, a library and a distributed runtime for building interactive tools for exploring large datasets, distributed across multiple machines. We have built several sophisticated applications using this framework; in this paper we describe a billion-row spreadsheet, and a distributed-systems performance analyzer. Sketch applications allow interactive and responsive exploration of complex distributed datasets, scaling effectively to take advantage of large computational resources.

Original language	English
Title of host publication	Eurographics Symposium on Parallel Graphics and Visualization (2016)
Publication status	Published - 2016

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Budiu, M., Isaacs, R., Murray, D., Plotkin, G., Barham, P., Al-Kiswany, S., Boshmaf, Y., Luo, Q., & Andoni, A. (2016). Interacting with large distributed datasets using Sketch. In Eurographics Symposium on Parallel Graphics and Visualization (2016) https://scholar.google.com/citations?view_op=view_citation&hl=en&user=oDTfXXYAAAAJ&pagesize=100&citation_for_view=oDTfXXYAAAAJ:Se3iqnhoufwC

@inproceedings{6c1414cbfd104518a960839c6d8bcee8,

title = "Interacting with large distributed datasets using Sketch",

abstract = "We present Sketch, a library and a distributed runtime for building interactive tools for exploring large datasets, distributed across multiple machines. We have built several sophisticated applications using this framework; in this paper we describe a billion-row spreadsheet, and a distributed-systems performance analyzer. Sketch applications allow interactive and responsive exploration of complex distributed datasets, scaling effectively to take advantage of large computational resources.",

author = "Mihai Budiu and Rebecca Isaacs and Derek Murray and Gordon Plotkin and Paul Barham and Samer Al-Kiswany and Yazan Boshmaf and Qingzhou Luo and Alexandr Andoni",

year = "2016",

language = "English",

booktitle = "Eurographics Symposium on Parallel Graphics and Visualization (2016)",

}

Budiu, M, Isaacs, R, Murray, D, Plotkin, G, Barham, P, Al-Kiswany, S, Boshmaf, Y, Luo, Q & Andoni, A 2016, Interacting with large distributed datasets using Sketch. in Eurographics Symposium on Parallel Graphics and Visualization (2016). <https://scholar.google.com/citations?view_op=view_citation&hl=en&user=oDTfXXYAAAAJ&pagesize=100&citation_for_view=oDTfXXYAAAAJ:Se3iqnhoufwC>

TY - GEN

T1 - Interacting with large distributed datasets using Sketch

AU - Budiu, Mihai

AU - Isaacs, Rebecca

AU - Murray, Derek

AU - Plotkin, Gordon

AU - Barham, Paul

AU - Al-Kiswany, Samer

AU - Boshmaf, Yazan

AU - Luo, Qingzhou

AU - Andoni, Alexandr

PY - 2016

Y1 - 2016

N2 - We present Sketch, a library and a distributed runtime for building interactive tools for exploring large datasets, distributed across multiple machines. We have built several sophisticated applications using this framework; in this paper we describe a billion-row spreadsheet, and a distributed-systems performance analyzer. Sketch applications allow interactive and responsive exploration of complex distributed datasets, scaling effectively to take advantage of large computational resources.

AB - We present Sketch, a library and a distributed runtime for building interactive tools for exploring large datasets, distributed across multiple machines. We have built several sophisticated applications using this framework; in this paper we describe a billion-row spreadsheet, and a distributed-systems performance analyzer. Sketch applications allow interactive and responsive exploration of complex distributed datasets, scaling effectively to take advantage of large computational resources.

M3 - Conference contribution

BT - Eurographics Symposium on Parallel Graphics and Visualization (2016)

ER -

Interacting with large distributed datasets using Sketch

Abstract

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