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Conduct a computational experiment in 10 minutes - Laurent Picard

264 views · Published 13 November 2017 · 32:28 · Indexed 8 November 2026

Channel: PyData · 2017 · Science & Technology

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Description
By distributing a Python algorithm over 1,000 computers, a 1 week computation can drop down to 10 minutes only. Moreover, storing and processing the results can be complex and time consuming, especially with large amounts. This can be seamless and real-time. Discover the power of Spark and BigQuery.

Abstract
During this talk, you'll see how to:

- Adapt a Python algorithm for parallel computing
- Distribute it over 1,000 cores with Spark
- Stream the results in real-time with BigQuery
- Analyze the results, even while the experiment is still ongoing

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Conduct a computational experiment in 10 minutes (instead of 1 week) & process results in real-time
Laurent Picard 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.

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