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1 Login Signup November 13 to , Santa Clara, USA. Overview Registration Agenda Speakers Sponsors Suggest Topics / Event Registration Agenda Day -1 ( Nov 13 7:45AM- 7:30PM ) Big Data Track 7:45 AM - 9:00 AM Registration 9:00 AM - 9:40AM Keynote: The Future Role of Imaging and Video in the IoT: Recognition and Computational Vision and Data (Ron Tussy, Industry Analyst, The Imerge Group) 9:40 AM - 10:20AM Industry Vertical Use Case 10:20AM -10:40AM Morning Break 10:40 AM - 11:20AM Netflix (Vinay Chella, Cloud Data Architect, Netflix) 11:20 AM - 12:00PM An open source workflow engine (Maxime Beauchemin, Data Engineer, Airbnb) 12:00 PM - 1:00PM Lunch Break 1:00PM - 1:40PM Moving from Hadoop to Spark (Sujee Maniyam, Big Data consultant, Elephant Scale) 1:40PM - 2:20PM Data Science empowering Commerce Experiences at Scale (Ashok ramani, Product Lead Big Data, ebay) 1/5

2 2:20PM - 3:00PM 3:00PM -3:30PM 3:30PM - 4:10PM 4:10PM - 4:50PM 4:50PM - 5:30PM Machine Learning Use case (Rishiraj Pravahan, Data Scientist, AT&T) Break Keynote Monitoring and Automated Remediation (Jean-Sebastien Jeannotte, Software Engineer, Netflix) Virtualized HDFS (Thomas Phelan, CTO, BlueData) 8:00 AM - 12:00PM Data Analysis (Hadoop, Hive, Pig, Impala) - (Daniel Templeton, Software Engineer, Cloudera) 12:00 PM - 12:30PM Lunch Break 12:30PM - 4:30PM MongoDB speed, scale, and durability (Nuri Halperin, Principal, Plus N Consulting) 4:30PM - 8:30PM Build a Time Series Application with Spark Streaming and HBase (Sridhar Reddy, Director, MapR) Day -2 ( Nov 14 7:45AM- 8:30PM ) 8:00 AM - 11:30PM Building a Data Pipeline with Kafka, Spark and Cassandra (Ryan Knight, Solution Engineer, Datastax) 11:30 AM - 12:30PM Unifying Big Data Batch and Real-Time Streaming with Apache Flink (Vladimir Bacvanski, Founder, SciSpike) 1:00PM - 2:00PM Beyond Shuffling: Scaling your Spark Jobs (Holden Karau, Software Engineer, Alpine Data Labs) 2:00PM - 2:40PM Lessons learned from running hundreds of Kaggle competitions (Ben Hamner, CTO & Founder, Kaggle) 2:40PM - 3:20PM Data Science at Uber (Prakhar Mehrotra, Data Science Manager, Uber) 3:20PM - 7:00PM Deep Learning 7:00PM - 8:30PM Deploying Applications Using the Docker Ecosystem (Ted Young, Software Engineer, Guidewire Software) Advanced Sessions 2/5

3 8:00 AM - 11:00AM Storm, Flume & Kafka 11:00 AM - 12:30PM Apache Heron 1:00PM - 3:00PM Presto/Druid 3:00PM - 5:00PM Mesos Day - 3 ( Nov 15 7:45AM- 6:00PM ) 8:00 AM - 11:00AM Cassandra 11:00 AM - 12:30PM MongoDB & Neo4J 1:00PM - 6:00PM Data Science with R & Python and Predictive Analytics Advanced 8:00 AM - 12:00PM IoT 12:00 PM - 12:30PM Lunch Break 12:30PM - 1:10PM 12:30PM - 1:10PM 1:10PM - 6:00PM NOTE: Agenda and speakers subject to change without notice Ask a Question to Speaker Netflix Keystone - The Cloud Event Processing Pipeline (Monal Daxini, Software Engineer, Netflix) How companies are using Tachyon, a memory-centric distributed storage (Gene Pang, Software Engineer, Tachyon Nexus) Deployment of Docker & Micro Services in Big Data: Upcoming Events Sponsors 3/5

4 PrevNext Tweets #Predictive #Analytics And Novel Visualization Draw Customers To Must Have #Data buff.ly/1psemzz #iot #spark #hadoop #deeplearning Follow 1h #Data #Analysis at #bigdata bootcamp #santaclara buff.ly/1im2m9g use code TWITTER #iot #spark #technology #ml Expand #BigData Solutions for Small Businesses buff.ly/1pwpgsk #hadoop #datascience #cassandra #mongodb #spark #nosql #iot #analytics Tweet to More Home Log In Registration Speakers Photos Video Industry News 4/5

5 Testimonials Request To Attend Convince Your Manager Contact Us Follow us Twitter Facebook LinkedIn Youtube 2014 Global. All Rights Reserved. Privacy policy Terms & Conditions 5/5

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