際際滷shows by User: GnaPhetsarath / http://www.slideshare.net/images/logo.gif 際際滷shows by User: GnaPhetsarath / Fri, 31 Jan 2014 10:05:20 GMT 際際滷Share feed for 際際滷shows by User: GnaPhetsarath New York Storm Users Group 2014-01-28 - Using Storm with MapR M7 for Real-Time Predictive Modeling /slideshow/new-york-storm-users-group/30672250 nysug-storm-mapr-m7201401-140131100520-phpapp02
Velos provides predictive Aaalytics lifecycle and scaling solutions for Enterprise companies. Formerly Sociocast, a SaaS solution with use-case specific ad tech and e-commerce models on our own hardware. Velos provides an on-premise platform supporting any models on various production runtimes, such as Hadoop, Storm, Spark and others. We will discuss the evolution from an Hadoop-only system to an architecture consisting of Storm, Play, Kafka, Redis, MapR M3, and MapR M7 (HBase) to meet our requirements. An overview of the different types of topologies created by Sociocast will be discussed with an in depth review of the topology used for real-time probabilistic and absolute counting. Performance metrics of the platform will be shared as well as a development road map for the platform.]]>
Velos provides predictive Aaalytics lifecycle and scaling solutions for Enterprise companies. Formerly Sociocast, a SaaS solution with use-case specific ad tech and e-commerce models on our own hardware. Velos provides an on-premise platform supporting any models on various production runtimes, such as Hadoop, Storm, Spark and others. We will discuss the evolution from an Hadoop-only system to an architecture consisting of Storm, Play, Kafka, Redis, MapR M3, and MapR M7 (HBase) to meet our requirements. An overview of the different types of topologies created by Sociocast will be discussed with an in depth review of the topology used for real-time probabilistic and absolute counting. Performance metrics of the platform will be shared as well as a development road map for the platform.]]> Fri, 31 Jan 2014 10:05:20 GMT /slideshow/new-york-storm-users-group/30672250 GnaPhetsarath@slideshare.net(GnaPhetsarath) New York Storm Users Group 2014-01-28 - Using Storm with MapR M7 for Real-Time Predictive Modeling GnaPhetsarath Velos provides predictive Aaalytics lifecycle and scaling solutions for Enterprise companies. Formerly Sociocast, a SaaS solution with use-case specific ad tech and e-commerce models on our own hardware. Velos provides an on-premise platform supporting any models on various production runtimes, such as Hadoop, Storm, Spark and others. We will discuss the evolution from an Hadoop-only system to an architecture consisting of Storm, Play, Kafka, Redis, MapR M3, and MapR M7 (HBase) to meet our requirements. An overview of the different types of topologies created by Sociocast will be discussed with an in depth review of the topology used for real-time probabilistic and absolute counting. Performance metrics of the platform will be shared as well as a development road map for the platform. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nysug-storm-mapr-m7201401-140131100520-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Velos provides predictive Aaalytics lifecycle and scaling solutions for Enterprise companies. Formerly Sociocast, a SaaS solution with use-case specific ad tech and e-commerce models on our own hardware. Velos provides an on-premise platform supporting any models on various production runtimes, such as Hadoop, Storm, Spark and others. We will discuss the evolution from an Hadoop-only system to an architecture consisting of Storm, Play, Kafka, Redis, MapR M3, and MapR M7 (HBase) to meet our requirements. An overview of the different types of topologies created by Sociocast will be discussed with an in depth review of the topology used for real-time probabilistic and absolute counting. Performance metrics of the platform will be shared as well as a development road map for the platform.
New York Storm Users Group 2014-01-28 - Using Storm with MapR M7 for Real-Time Predictive Modeling from Gna Phetsarath
]]> 2287 3 https://cdn.slidesharecdn.com/ss_thumbnails/nysug-storm-mapr-m7201401-140131100520-phpapp02-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 https://cdn.slidesharecdn.com/profile-photo-GnaPhetsarath-48x48.jpg?cb=1557849198 Working with the Big Data Platform team to build next generation large scale machine learning infrastructure solutions.