ºÝºÝߣshows by User: marianogonzalezmx / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: marianogonzalezmx / Tue, 22 Sep 2020 18:16:20 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: marianogonzalezmx Architecting Analytic Pipelines on GCP - Chicago Cloud Conference 2020 /slideshow/architecting-analytic-pipelines-on-gcp-chicago-cloud-conference-2020-1/238607484 architectinganalyticpipelinesongcp-chicagocloudconference20201-200922181620
Modernizing analytics data pipelines to gain the most of your data while optimizing costs can be challenging. However, today cloud providers offer a good set of services that can help with this endeavor. We will do a tour across some GCP services during this hands-on session, using DataFlow (apache beam) as the backbone to architect a modern analytics pipeline to wire them all together.]]>

Modernizing analytics data pipelines to gain the most of your data while optimizing costs can be challenging. However, today cloud providers offer a good set of services that can help with this endeavor. We will do a tour across some GCP services during this hands-on session, using DataFlow (apache beam) as the backbone to architect a modern analytics pipeline to wire them all together.]]>
Tue, 22 Sep 2020 18:16:20 GMT /slideshow/architecting-analytic-pipelines-on-gcp-chicago-cloud-conference-2020-1/238607484 marianogonzalezmx@slideshare.net(marianogonzalezmx) Architecting Analytic Pipelines on GCP - Chicago Cloud Conference 2020 marianogonzalezmx Modernizing analytics data pipelines to gain the most of your data while optimizing costs can be challenging. However, today cloud providers offer a good set of services that can help with this endeavor. We will do a tour across some GCP services during this hands-on session, using DataFlow (apache beam) as the backbone to architect a modern analytics pipeline to wire them all together. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/architectinganalyticpipelinesongcp-chicagocloudconference20201-200922181620-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Modernizing analytics data pipelines to gain the most of your data while optimizing costs can be challenging. However, today cloud providers offer a good set of services that can help with this endeavor. We will do a tour across some GCP services during this hands-on session, using DataFlow (apache beam) as the backbone to architect a modern analytics pipeline to wire them all together.
Architecting Analytic Pipelines on GCP - Chicago Cloud Conference 2020 from Mariano Gonzalez
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Native Spark Executors on Kubernetes: Diving into the Data Lake - Chicago Cloud Conference 2019 /slideshow/chicago-cloud-conference-2019/157165045 chicagocloudconference-190723035536
Everybody wants to do big data on a data lake! However, implementing it and maintaining the infrastructure necessary to explore it, such as Spark, has been a historically challenging endeavor. Kubernetes is the tool of choice for cloud orchestration, and Spark continues to be the de facto framework for most data wrangling tasks. We’ve previously tried different data lake architectures, and suffered from the pain that Hadoop carries with it. Finally, we decided to bring the best from the cloud and big data worlds together, and walk you through a session on how to set an endless data lake powered with native Spark executors on Kubernetes]]>

Everybody wants to do big data on a data lake! However, implementing it and maintaining the infrastructure necessary to explore it, such as Spark, has been a historically challenging endeavor. Kubernetes is the tool of choice for cloud orchestration, and Spark continues to be the de facto framework for most data wrangling tasks. We’ve previously tried different data lake architectures, and suffered from the pain that Hadoop carries with it. Finally, we decided to bring the best from the cloud and big data worlds together, and walk you through a session on how to set an endless data lake powered with native Spark executors on Kubernetes]]>
Tue, 23 Jul 2019 03:55:36 GMT /slideshow/chicago-cloud-conference-2019/157165045 marianogonzalezmx@slideshare.net(marianogonzalezmx) Native Spark Executors on Kubernetes: Diving into the Data Lake - Chicago Cloud Conference 2019 marianogonzalezmx Everybody wants to do big data on a data lake! However, implementing it and maintaining the infrastructure necessary to explore it, such as Spark, has been a historically challenging endeavor. Kubernetes is the tool of choice for cloud orchestration, and Spark continues to be the de facto framework for most data wrangling tasks. We’ve previously tried different data lake architectures, and suffered from the pain that Hadoop carries with it. Finally, we decided to bring the best from the cloud and big data worlds together, and walk you through a session on how to set an endless data lake powered with native Spark executors on Kubernetes <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chicagocloudconference-190723035536-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Everybody wants to do big data on a data lake! However, implementing it and maintaining the infrastructure necessary to explore it, such as Spark, has been a historically challenging endeavor. Kubernetes is the tool of choice for cloud orchestration, and Spark continues to be the de facto framework for most data wrangling tasks. We’ve previously tried different data lake architectures, and suffered from the pain that Hadoop carries with it. Finally, we decided to bring the best from the cloud and big data worlds together, and walk you through a session on how to set an endless data lake powered with native Spark executors on Kubernetes
Native Spark Executors on Kubernetes: Diving into the Data Lake - Chicago Cloud Conference 2019 from Mariano Gonzalez
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Zero Downtime with OSGi - Chicago Coder Conference 05-15-2015 /slideshow/zero-downtime-with-osgi/48294713 zerodowntimewithosgi-150518174035-lva1-app6891
Zero Downtime with OSGi - Chicago Coder Conference 05-15-2015]]>

Zero Downtime with OSGi - Chicago Coder Conference 05-15-2015]]>
Mon, 18 May 2015 17:40:35 GMT /slideshow/zero-downtime-with-osgi/48294713 marianogonzalezmx@slideshare.net(marianogonzalezmx) Zero Downtime with OSGi - Chicago Coder Conference 05-15-2015 marianogonzalezmx Zero Downtime with OSGi - Chicago Coder Conference 05-15-2015 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/zerodowntimewithosgi-150518174035-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Zero Downtime with OSGi - Chicago Coder Conference 05-15-2015
Zero Downtime with OSGi - Chicago Coder Conference 05-15-2015 from Mariano Gonzalez
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https://cdn.slidesharecdn.com/profile-photo-marianogonzalezmx-48x48.jpg?cb=1601079911 https://cdn.slidesharecdn.com/ss_thumbnails/architectinganalyticpipelinesongcp-chicagocloudconference20201-200922181620-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/architecting-analytic-pipelines-on-gcp-chicago-cloud-conference-2020-1/238607484 Architecting Analytic ... https://cdn.slidesharecdn.com/ss_thumbnails/chicagocloudconference-190723035536-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/chicago-cloud-conference-2019/157165045 Native Spark Executors... https://cdn.slidesharecdn.com/ss_thumbnails/zerodowntimewithosgi-150518174035-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/zero-downtime-with-osgi/48294713 Zero Downtime with OSG...