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A

Ajay

Verisign Inc
Database Engineer
Reston Va, USA
Monday, May 9
 

10:40am PDT

Streaming SQL with Apache Calcite - Julian Hyde, Hortonworks Plaza A

11:40am PDT

SAMOA: A Platform for Mining Big Data Streams - Nicolas Kourtellis, Telefonica Plaza A

2:00pm PDT

Data Science Applied: A Utilities Sector Case Study - Bram Steurtewagen Regency E

3:00pm PDT

Managing Enterprise Hadoop Clusters with Apache Ambari - Jayush Luniya, Hortonworks Regency A Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix Georgia B

4:10pm PDT

Delivering Realtime and Agile Analytics Using Apache Kafka, Spark & Drill - Neeraja Rentachintala, MapR technologies Plaza C Designing Workflows with OODT - Tom Barber, Meteroite Consulting Plaza A

5:10pm PDT

Building a Durable Real-Time Data Pipeline: Apache BookKeeper at Twitter - Sijie Guo & Leigh Stewart, Twitter Georgia B Speaking the Language of Big Data - With Apache Avro and Apache Thrift - Ranganathan Balashanmugam, ThoughtWorks Plaza A
 
Tuesday, May 10
 

9:00am PDT

Shared or Distributed HDFS - What’s Right for Me? - Janet George, SanDisk Regency B Apache Kafka at Rocana - Alan Gardner, Rocana Regency A Wikimedia Content API: A Cassandra Use-case - Eric Evans, Wikimedia Foundation Plaza B SQL on Hadoop/Big Data - Architecture, Technology and Roadmap - Sumit Pal, Big Data Consultant Georgia A

10:00am PDT

Protecting Enterprise Data in Hadoop - Owen O'Malley, Hortonworks Regency E Apache Hive 2.0 SQL Speed Scale - Alan Gates, Hortonworks Georgia A

11:20am PDT

HDFS and Private Cloud - Janet George, SanDisk Regency B Streaming Data Integration at Scale with Kafka - Ewen Cheslack-Postava, Confluent Regency A Cassandra Multi-datacenter Operations Essentials - Julien Anguenot, iland Internet Solutions, Corp Plaza B Get the Best Out of Hive and Spark - Xuefu Zhang, Uber Georgia A

2:00pm PDT

Hive on ACID - Alan Gates, Hortonworks Georgia A

3:00pm PDT

Hadoop Object Store - Ozone - Anu Engineer & Arpit Agarwal, Hortonworks Regency B From Big Data to Mobile Data with Apache CouchDB and PouchDB - Bradley Holt, IBM Cloudant Plaza B
 
Wednesday, May 11
 

10:50am PDT

SystemML - Declarative Machine Learning - Luciano Resende, IBM Georgia A Using a Relative Index of Performance (RIP) to Determine Optimum Configuration Settings Compared to Random Forest Assessment Using Spark - Diane Feddema, Red Hat Inc, Canada Georgia B

11:50am PDT

Introducing Datasets: Bringing Compile Time Type Checking and Functional Transformations to Spark DataFrames - Holden Karau, IBM Plaza C

3:00pm PDT

Crowd Learning for Indoor Positioning - Thomas Burgess, indoo.rs GmbH Plaza A Real-world Analytics with Solr Cloud and Spark - Johannes Weigend, QAware GmbH Georgia A

4:10pm PDT

Distributed Machine Learning with Apache Mahout - Suneel Marthi, Red Hat Georgia A Effective HBase Healthcheck and Troubleshooting - Jayesh Thakrar, Conversant Georgia B Data Science for the Datacenter: Analyzing Logs with Apache Spark - William Benton, Red Hat, Inc Plaza B

5:10pm PDT

Data Management at Scale - Tom Barber, Meteroite Consulting Plaza B