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Big Data in the Cloud - Processing and Performance
<!--HTML-->This talk will cover how big data and big computation is being handled in the Cloud. It gives practical examples using GCP including tools that apply like Google BigQuery, DataFlow, Container Engine/Kubernetes, and ways to evaluate their performance using Google's open source...
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Lenguaje: | eng |
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2015
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Acceso en línea: | http://cds.cern.ch/record/2007711 |
_version_ | 1780946363057438720 |
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author | VOELLM, Anthony |
author_facet | VOELLM, Anthony |
author_sort | VOELLM, Anthony |
collection | CERN |
description | <!--HTML-->This talk will cover how big data and big computation is being handled in the Cloud. It gives practical examples using GCP including tools that apply like Google BigQuery, DataFlow, Container Engine/Kubernetes, and ways to evaluate their performance using Google's open source benchmarking tool PerfKitBenchmarker.
About the author.
**Anthony F. Voellm** is currently leading the Google Cloud Performance Team and has a wide range of experience from kernel and database engines to graphics and automated image and map extraction from satellite images. Anthony is an avid inventor with 7 technology patents issued. In his current role at Google Anthony is focused on delivering Price Performance to existing products like Google Compute Engine and Google Cloud Storage while also innovating new offerings. Anthony holds a Master of Science from George Washington University, BA in Physics and a BS in Computer Science and Mathematics from the University of Vermont.
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id | cern-2007711 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
record_format | invenio |
spelling | cern-20077112022-11-02T22:11:33Zhttp://cds.cern.ch/record/2007711engVOELLM, AnthonyBig Data in the Cloud - Processing and PerformanceCernVM Users WorkshopGeneral<!--HTML-->This talk will cover how big data and big computation is being handled in the Cloud. It gives practical examples using GCP including tools that apply like Google BigQuery, DataFlow, Container Engine/Kubernetes, and ways to evaluate their performance using Google's open source benchmarking tool PerfKitBenchmarker. About the author. **Anthony F. Voellm** is currently leading the Google Cloud Performance Team and has a wide range of experience from kernel and database engines to graphics and automated image and map extraction from satellite images. Anthony is an avid inventor with 7 technology patents issued. In his current role at Google Anthony is focused on delivering Price Performance to existing products like Google Compute Engine and Google Cloud Storage while also innovating new offerings. Anthony holds a Master of Science from George Washington University, BA in Physics and a BS in Computer Science and Mathematics from the University of Vermont. oai:cds.cern.ch:20077112015 |
spellingShingle | General VOELLM, Anthony Big Data in the Cloud - Processing and Performance |
title | Big Data in the Cloud - Processing and Performance |
title_full | Big Data in the Cloud - Processing and Performance |
title_fullStr | Big Data in the Cloud - Processing and Performance |
title_full_unstemmed | Big Data in the Cloud - Processing and Performance |
title_short | Big Data in the Cloud - Processing and Performance |
title_sort | big data in the cloud - processing and performance |
topic | General |
url | http://cds.cern.ch/record/2007711 |
work_keys_str_mv | AT voellmanthony bigdatainthecloudprocessingandperformance AT voellmanthony cernvmusersworkshop |