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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
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Apache: Big Data 2016
America/Los Angeles
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Apache: Big Data 2016
May 8
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12, 2016
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Interfacing with Big Data
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Keynote
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Intermediate
Managing Distributed Systems
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Intermediate
Math & Standards
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Intermediate
Monitoring-Benchmarking
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New Projects
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NoSQL
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Intermediate
Operations-Use Cases
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Spark
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SQL Interaction
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State-Future of $foo
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