際際滷shows by User: charsmith / http://www.slideshare.net/images/logo.gif 際際滷shows by User: charsmith / Tue, 17 Apr 2018 23:40:05 GMT 際際滷Share feed for 際際滷shows by User: charsmith Making it easy to work with data /slideshow/making-it-easy-to-work-with-data-94154554/94154554 makingiteasytoworkwithdata-180417234006
Presentation at the Crunch Data Conference about the history of the Netflix Data Platform]]>
Presentation at the Crunch Data Conference about the history of the Netflix Data Platform]]> Tue, 17 Apr 2018 23:40:05 GMT /slideshow/making-it-easy-to-work-with-data-94154554/94154554 charsmith@slideshare.net(charsmith) Making it easy to work with data charsmith Presentation at the Crunch Data Conference about the history of the Netflix Data Platform <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/makingiteasytoworkwithdata-180417234006-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation at the Crunch Data Conference about the history of the Netflix Data Platform
Making it easy to work with data from Charles Smith
]]> 714 1 https://cdn.slidesharecdn.com/ss_thumbnails/makingiteasytoworkwithdata-180417234006-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 OSCON 2015 /slideshow/oscon2015/50869043 oscon2015-150724000916-lva1-app6892
際際滷s from my talk at Oscon 2015 talking about the things we are measuring in an attempt to understand our data.]]>
際際滷s from my talk at Oscon 2015 talking about the things we are measuring in an attempt to understand our data.]]> Fri, 24 Jul 2015 00:09:16 GMT /slideshow/oscon2015/50869043 charsmith@slideshare.net(charsmith) OSCON 2015 charsmith 際際滷s from my talk at Oscon 2015 talking about the things we are measuring in an attempt to understand our data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/oscon2015-150724000916-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 際際滷s from my talk at Oscon 2015 talking about the things we are measuring in an attempt to understand our data.
OSCON 2015 from Charles Smith
]]> 1490 4 https://cdn.slidesharecdn.com/ss_thumbnails/oscon2015-150724000916-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big data and containers /slideshow/big-data-and-containers/46515042 p4einhzrcov2vot37emd-signature-9d016b11a60b2fc1c2edb81f8e017436f6f892ddaf7b0e1a30d2f4e36c63b9c0-poli-150331183032-conversion-gate01
Thinking through how containers should change our thinking in big data.]]>
Thinking through how containers should change our thinking in big data.]]> Tue, 31 Mar 2015 18:30:31 GMT /slideshow/big-data-and-containers/46515042 charsmith@slideshare.net(charsmith) Big data and containers charsmith Thinking through how containers should change our thinking in big data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/p4einhzrcov2vot37emd-signature-9d016b11a60b2fc1c2edb81f8e017436f6f892ddaf7b0e1a30d2f4e36c63b9c0-poli-150331183032-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Thinking through how containers should change our thinking in big data.
Big data and containers from Charles Smith
]]> 1927 3 https://cdn.slidesharecdn.com/ss_thumbnails/p4einhzrcov2vot37emd-signature-9d016b11a60b2fc1c2edb81f8e017436f6f892ddaf7b0e1a30d2f4e36c63b9c0-poli-150331183032-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-charsmith-48x48.jpg?cb=1524004990 If you are interested in joining our team, ping me or check this out: https://jobs.netflix.com/#/jobs/2213 I lead the Big Data Platform Architecture team at Netflix that works to make it easy and efficient to work with big data. Netflix is a data-driven company. Data drives our content purchases, recommendations, A/B tests, etc. and our team has a chance to make a meaningful impact to the business by lowering the barrier of entry into using the data to do cool and useful things. Making it easier to do data processing and growing volumes of data means that we also want to make the processing more efficient and scalable. We help our users look at their pipelines and patterns to best us... https://cdn.slidesharecdn.com/ss_thumbnails/makingiteasytoworkwithdata-180417234006-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/making-it-easy-to-work-with-data-94154554/94154554 Making it easy to work... https://cdn.slidesharecdn.com/ss_thumbnails/oscon2015-150724000916-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/oscon2015/50869043 OSCON 2015 https://cdn.slidesharecdn.com/ss_thumbnails/p4einhzrcov2vot37emd-signature-9d016b11a60b2fc1c2edb81f8e017436f6f892ddaf7b0e1a30d2f4e36c63b9c0-poli-150331183032-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/big-data-and-containers/46515042 Big data and containers