際際滷shows by User: amiryoussefi / http://www.slideshare.net/images/logo.gif 際際滷shows by User: amiryoussefi / Wed, 08 Mar 2023 20:30:32 GMT 際際滷Share feed for 際際滷shows by User: amiryoussefi Druid Optimizations for Scaling Customer Facing Analytics /slideshow/druid-optimizations-for-scaling-customer-facing-analytics-256308181/256308181 druidsummitdruidoptimizationscalingatconviva-230308203032-f5d8f2aa
Druid Optimizations for Scaling Customer Facing Analytics ]]>
Druid Optimizations for Scaling Customer Facing Analytics ]]> Wed, 08 Mar 2023 20:30:32 GMT /slideshow/druid-optimizations-for-scaling-customer-facing-analytics-256308181/256308181 amiryoussefi@slideshare.net(amiryoussefi) Druid Optimizations for Scaling Customer Facing Analytics amiryoussefi Druid Optimizations for Scaling Customer Facing Analytics <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/druidsummitdruidoptimizationscalingatconviva-230308203032-f5d8f2aa-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Druid Optimizations for Scaling Customer Facing Analytics
Druid Optimizations for Scaling Customer Facing Analytics from Amir Youssefi
]]> 30 0 https://cdn.slidesharecdn.com/ss_thumbnails/druidsummitdruidoptimizationscalingatconviva-230308203032-f5d8f2aa-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://public.slidesharecdn.com/v2/images/profile-picture.png Contact: [firstname].[lastname]@gmail.com - Big Data: Large Scale Distributed Data Processing Systems (Hadoop / MapReduce, Spark, Pig, Hive, HBase and related products). I was early member of Hadoop Team at Yahoo! (2007-2010) - Databases/Data Warehousing (ETL, Dimensional Modeling, SQL mostly on Oracle Database, Graph Databases), worked with transactional SQL. Worked with some of the largest commercial data-sets in the world. - Java 2 Enterprise Programming (Struts, Spring, Hibernate, Jersey etc.), some Scala. Built systems scaling for millions of users. - Cloud Computing: Amazon Web Services (AWS) i.e. S3, EC2, EMR. Worked with a couple of startups with Cloud Computing. - Team Building ...