ºÝºÝߣshows by User: TimPark4 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: TimPark4 / Thu, 10 Nov 2016 14:21:53 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: TimPark4 Processing Planetary Sized Datasets /slideshow/processing-planetary-sized-datasets-68586603/68586603 processingplanetarysizeddatasets-161110142153
In my group at Microsoft, we have worked with the United Nations, Guide Dogs for the Blind in the UK, and Ströer in Germany on a number of projects involving high scale data. In this talk, I'll share some of the best practices and patterns that have come out of those experiences: best practices for storing and indexing geospatial data at scale, incremental ingestion and slice processing of the data, efficiently building and presenting progressive levels of detail on a web and mobile. The audience will walk away with an understanding of how to efficiently summarize data over a geographic area, general methods for doing incremental updates to large scale datasets with Apache Spark, and best practices around precomputing high scale frontend data views.]]>

In my group at Microsoft, we have worked with the United Nations, Guide Dogs for the Blind in the UK, and Ströer in Germany on a number of projects involving high scale data. In this talk, I'll share some of the best practices and patterns that have come out of those experiences: best practices for storing and indexing geospatial data at scale, incremental ingestion and slice processing of the data, efficiently building and presenting progressive levels of detail on a web and mobile. The audience will walk away with an understanding of how to efficiently summarize data over a geographic area, general methods for doing incremental updates to large scale datasets with Apache Spark, and best practices around precomputing high scale frontend data views.]]>
Thu, 10 Nov 2016 14:21:53 GMT /slideshow/processing-planetary-sized-datasets-68586603/68586603 TimPark4@slideshare.net(TimPark4) Processing Planetary Sized Datasets TimPark4 In my group at Microsoft, we have worked with the United Nations, Guide Dogs for the Blind in the UK, and Ströer in Germany on a number of projects involving high scale data. In this talk, I'll share some of the best practices and patterns that have come out of those experiences: best practices for storing and indexing geospatial data at scale, incremental ingestion and slice processing of the data, efficiently building and presenting progressive levels of detail on a web and mobile. The audience will walk away with an understanding of how to efficiently summarize data over a geographic area, general methods for doing incremental updates to large scale datasets with Apache Spark, and best practices around precomputing high scale frontend data views. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/processingplanetarysizeddatasets-161110142153-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In my group at Microsoft, we have worked with the United Nations, Guide Dogs for the Blind in the UK, and Ströer in Germany on a number of projects involving high scale data. In this talk, I&#39;ll share some of the best practices and patterns that have come out of those experiences: best practices for storing and indexing geospatial data at scale, incremental ingestion and slice processing of the data, efficiently building and presenting progressive levels of detail on a web and mobile. The audience will walk away with an understanding of how to efficiently summarize data over a geographic area, general methods for doing incremental updates to large scale datasets with Apache Spark, and best practices around precomputing high scale frontend data views.
Processing Planetary Sized Datasets from Tim Park
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Processing planetary sized datasets /TimPark4/processing-planetary-sized-datasets processingplanetarysizeddatasets-160505130342
DecodedConf presentation around processing geospatial data centered around the eight patterns that we've found in working on customer and partner projects at Microsoft.DecodedConf presentation around processing geospatial data centered around the eight patterns that we've found in working on customer and partner projects at Microsoft.]]>

DecodedConf presentation around processing geospatial data centered around the eight patterns that we've found in working on customer and partner projects at Microsoft.DecodedConf presentation around processing geospatial data centered around the eight patterns that we've found in working on customer and partner projects at Microsoft.]]>
Thu, 05 May 2016 13:03:42 GMT /TimPark4/processing-planetary-sized-datasets TimPark4@slideshare.net(TimPark4) Processing planetary sized datasets TimPark4 DecodedConf presentation around processing geospatial data centered around the eight patterns that we've found in working on customer and partner projects at Microsoft.DecodedConf presentation around processing geospatial data centered around the eight patterns that we've found in working on customer and partner projects at Microsoft. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/processingplanetarysizeddatasets-160505130342-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> DecodedConf presentation around processing geospatial data centered around the eight patterns that we&#39;ve found in working on customer and partner projects at Microsoft.DecodedConf presentation around processing geospatial data centered around the eight patterns that we&#39;ve found in working on customer and partner projects at Microsoft.
Processing planetary sized datasets from Tim Park
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ScaleConf 2015 - Tim Park - From Screens to Context (Connected Car) /slideshow/scaleconf-2015-tim-park-from-screens-to-context-connected-car/45471985 connectedcar-scaleconf-150305081605-conversion-gate01
Presentation by Tim Park at ScaleConf 2015 around how to ingest and process data in the Internet of Things and turn it into context and insights. Additionally, a discussion of how we deploy the system using Docker, CoreOS, and Deis.]]>

Presentation by Tim Park at ScaleConf 2015 around how to ingest and process data in the Internet of Things and turn it into context and insights. Additionally, a discussion of how we deploy the system using Docker, CoreOS, and Deis.]]>
Thu, 05 Mar 2015 08:16:05 GMT /slideshow/scaleconf-2015-tim-park-from-screens-to-context-connected-car/45471985 TimPark4@slideshare.net(TimPark4) ScaleConf 2015 - Tim Park - From Screens to Context (Connected Car) TimPark4 Presentation by Tim Park at ScaleConf 2015 around how to ingest and process data in the Internet of Things and turn it into context and insights. Additionally, a discussion of how we deploy the system using Docker, CoreOS, and Deis. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/connectedcar-scaleconf-150305081605-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation by Tim Park at ScaleConf 2015 around how to ingest and process data in the Internet of Things and turn it into context and insights. Additionally, a discussion of how we deploy the system using Docker, CoreOS, and Deis.
ScaleConf 2015 - Tim Park - From Screens to Context (Connected Car) from Tim Park
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Nitrogen - An IoT Platform for Makers /slideshow/nitrogen-an-iot-platform-for-makers/36080313 nitrogen-iotworld-140619150119-phpapp02
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Thu, 19 Jun 2014 15:01:19 GMT /slideshow/nitrogen-an-iot-platform-for-makers/36080313 TimPark4@slideshare.net(TimPark4) Nitrogen - An IoT Platform for Makers TimPark4 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nitrogen-iotworld-140619150119-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Nitrogen - An IoT Platform for Makers from Tim Park
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JSConf EU - Tim Park - Pointing forward to Pointer Events /slideshow/jsconf-eu-tim-park-pointing-forward-to-pointer-events/26193376 pointerevents-jsconf-130914094421-phpapp01
For 15 years we've been constrained by a event model on the web that assumes that a mouse is the only possible pointing device that an application could need. In this presentation I talk about how touch is becoming the dominant pointer in use on the web, some things we have learned about the best practices for this reality, and how Pointer Events will help us make the web applications truly touchable.]]>

For 15 years we've been constrained by a event model on the web that assumes that a mouse is the only possible pointing device that an application could need. In this presentation I talk about how touch is becoming the dominant pointer in use on the web, some things we have learned about the best practices for this reality, and how Pointer Events will help us make the web applications truly touchable.]]>
Sat, 14 Sep 2013 09:44:21 GMT /slideshow/jsconf-eu-tim-park-pointing-forward-to-pointer-events/26193376 TimPark4@slideshare.net(TimPark4) JSConf EU - Tim Park - Pointing forward to Pointer Events TimPark4 For 15 years we've been constrained by a event model on the web that assumes that a mouse is the only possible pointing device that an application could need. In this presentation I talk about how touch is becoming the dominant pointer in use on the web, some things we have learned about the best practices for this reality, and how Pointer Events will help us make the web applications truly touchable. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pointerevents-jsconf-130914094421-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> For 15 years we&#39;ve been constrained by a event model on the web that assumes that a mouse is the only possible pointing device that an application could need. In this presentation I talk about how touch is becoming the dominant pointer in use on the web, some things we have learned about the best practices for this reality, and how Pointer Events will help us make the web applications truly touchable.
JSConf EU - Tim Park - Pointing forward to Pointer Events from Tim Park
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https://cdn.slidesharecdn.com/profile-photo-TimPark4-48x48.jpg?cb=1529329276 I’m an advocate for open platforms at Microsoft. I listen to customers and partners using these open platforms, own making sure our Azure cloud is the is best place to run these workloads, and if not, develop and execute a technical strategy to make it the best. Our team also does strategic engineering engagements with customers and partners to build case studies, open source projects, and other technical collateral to lead the way on scenarios that have not been done anywhere else. We then share our knowledge through speaking at industry and community events. I work broadly across the cloud but have spend significantly more time on the Docker ecosystem, the JavaScript ecosystem, h... http://timpark.io https://cdn.slidesharecdn.com/ss_thumbnails/processingplanetarysizeddatasets-161110142153-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/processing-planetary-sized-datasets-68586603/68586603 Processing Planetary S... https://cdn.slidesharecdn.com/ss_thumbnails/processingplanetarysizeddatasets-160505130342-thumbnail.jpg?width=320&height=320&fit=bounds TimPark4/processing-planetary-sized-datasets Processing planetary s... https://cdn.slidesharecdn.com/ss_thumbnails/connectedcar-scaleconf-150305081605-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/scaleconf-2015-tim-park-from-screens-to-context-connected-car/45471985 ScaleConf 2015 - Tim P...