Hi, I don't think this meetup information is shared in the user mailing list, so here it is: https://www.meetup.com/hadoop/events/265963792
Join us at Yahoo’s HQ for awesome presentations (Uber, eBay, Cloudera, Yahoo/Verizon Media), conversations, & networking! Pizza & refreshments will be served! [Location & Parking] Yahoo Campus, 701 1st Ave, Sunnyvale (Building C, Classroom 4) Please park in the garage attached to Building C, on the 3rd floor. [Agenda] 5 - 5:45 Pizza, cookies, refreshments, & networking 5:45 - 6 Welcome & Intros 6 - 6:45 Raising the performance bar for stream processing with Apache Storm 2.0 Roshan Naik, Lead - Real-time Compute Platform, Uber The effort to rearchitect Storm's core engine was born from the observation that there exists a significant gap between hardware capabilities and the performance of the best streaming engines. In this talk, we’ll take a look at the performance and architecture of Storm's new engine which features a leaner threading model, a lock free messaging subsystem and a new ultra-lightweight Back Pressure model. 6:45 - 7:15 Quick Intro to Maha: Open source framework for rapid reporting API development; with out of the box support for high cardinality dimension lookups with Druid Pranav Bhole, Sr Software Engineer, Verizon Media 7:15 - 7:45 HDFS Cluster Optimization in eBay Yiqun Lin, Hadoop Team, eBay + Apache Hadoop Committer / PMC member On eBay, we have many large HDFS clusters with thousands of nodes. We face many stability/data availability problems in our cluster. Today we want to share some optimizations we did in the system layer or HDFS level to improve our clusters. Besides, that makes our cluster more stable than before. 7:45 - 8:15 Ozone - Object Storage for Big Data Arpit Agarwal, Senior Engineering Manager - Storage Team, Cloudera Ozone is an Object Store for big data that is designed to keep the best parts of HDFS while scaling to billions of files. Ozone is designed to support the Hadoop ecosystem with applications like MapReduce, Hive, Spark, and Impala working out of the box. This talk gives an overview of the Ozone architecture and describes how we approached solving some of the scale limitations of HDFS. We will also look at the current state and future roadmap. 8:15 - 8:35 Storm 2.0 - Features and Performance Enhancements Kishor Patil, Principal Software Engineer, Verizon Media + Apache Storm PMC
