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SB
Steve Brackenbury
Monday
, May 9
10:40am PDT
A Faster Way for Faster Workflows - Ken Krugler, Scale Unlimited
Plaza C
Seven Habits of a Highly Effective Big Data Programmer - Rekha Joshi, Intuit Inc
Georgia A
Big Data DumbOps - Kevin Monroe, Canonical
Georgia B
11:40am PDT
Using the SDACK Architecture to Build a Big Data Product - Yu-Hsin Yeh, Trend Micro
Plaza B
SAMOA: A Platform for Mining Big Data Streams - Nicolas Kourtellis, Telefonica
Plaza A
2:00pm PDT
SMACK Stack - Data Done Right - Stefan Siprell, codecentric AG
Georgia A
Convergence Rank and It’s Applications - Dalmo Cirne, mParticle, Inc.
Plaza B
Standing on Shoulders of Giants: Ampool Story - Milind Bhandarkar, Ampool, Inc.
Georgia B
Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn
Plaza A
3:00pm PDT
Happier Developers and Happier Software Through Distributed Testing - Andrew Wang, Cloudera
Plaza C
Druid: Interactive Exploratory Analytics at Scale - Fangjin Yang, Imply
Georgia A
Big Data Analytics Using R and PySpark for Business, Finance and Marketing - Dirk Van den Poel, Ghent University
Plaza B
Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix
Georgia B
Generating Many Resources from One Set of Schemas with Apache Streams - Steve Blackmon, People Pattern
Plaza A
4:10pm PDT
Delivering Realtime and Agile Analytics Using Apache Kafka, Spark & Drill - Neeraja Rentachintala, MapR technologies
Plaza C
Everyone Plays: Collaborative Data Science with Zeppelin - Trevor Grant, Market6
Regency E
Data Science with News Headlines - Analyzing and Visualizing a Whole Decade - Christian Winkler & Stephanie Fischer, mgm Technology Partners GmbH
Georgia B
5:10pm PDT
Building While Flying: Lessons Learned from Operating and Developing a Graph Service with TinkerPop - Keith Lohnes & David Pitera, IBM
Plaza C
Large Scale SolrCloud Cluster Management via APIs - Anshum Gupta, IBM Watson
Regency A
The New Time Series Kid on the Block - Florian Lautenschlager, QAware GmbH
Regency E
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
Open Geospatial Standards and Open Source - George Percival, Open Geospatial Consortium (OGC)
Plaza A
Shared or Distributed HDFS - What’s Right for Me? - Janet George, SanDisk
Regency B
Apache Kafka at Rocana - Alan Gardner, Rocana
Regency A
Random Forest Clustering with Apache Spark - Erik Erlandson, Red Hat, Inc.
Plaza C
SQL on Hadoop/Big Data - Architecture, Technology and Roadmap - Sumit Pal, Big Data Consultant
Georgia A
10:00am PDT
Breaking Spark: Top 5 Mistakes to Avoid When Using Apache Spark in Production - Neelesh Srinivas Salian, Cloudera
Georgia B
Protecting Enterprise Data in Hadoop - Owen O'Malley, Hortonworks
Regency E
Clickstream Analysis with Apache Spark - Andreas Zitzelsberger, QAware GmbH
Plaza C
11:20am PDT
Applying Geospatial Analytics Using Apache Spark Running on Apache Mesos - Adam Mollenkopf, Esri
Plaza A
Get the Best Out of Hive and Spark - Xuefu Zhang, Uber
Georgia A
2:00pm PDT
Apache Kerby for Big Data Security - Kai Zheng, Intel
Regency E
3:00pm PDT
Geospatially Enable Your Hadoop, Accumulo, and Spark Applications with LocationTech Projects
Plaza A
Apache Flume or Apache Kafka? How About Both? - Jayesh Thakrar, Conversant
Regency A
Enabling Universal Authorization Models Using Sentry - Hao Hao & Anne Yu, Cloudera
Regency E
Using Kafka and Kudu for Fast, Low-latency SQL Analytics on Streaming Data - Mike Percy & Ashish Singh, Cloudera
Georgia A
Wednesday
, May 11
10:50am PDT
Spark After Dark 2.0: Complete End-to-End, Real-time Advanced Analytics, Big Data Reference Pipeline Including Machine Learning, Graph Processing, and Text/NLP Analytics, and Streaming Approximations Using Kafka...
Plaza C
11:50am PDT
Geospatial Querying in Apache Marmotta - Sergio Fernandez, Redlink GmbH
Plaza A
Apache Zeppelin and It’s Pluggable Architecture for Your Data Science Environment - Moon Soo Lee, NFLabs
Regency A
2:00pm PDT
Spatial Data Based People/Vhicles Trails Analysis to Support Precision Urban Planning - Yonghua Zeng, IBM
Plaza A
Combining Machine Learning Frameworks with Apache Spark - Tim Hunter, Databricks, Inc.
Georgia A
3:00pm PDT
Real-world Analytics with Solr Cloud and Spark - Johannes Weigend, QAware GmbH
Georgia A
Time Series Processing with Apache Spark - Josef Adersberger, QAware GmbH
Plaza C
4:10pm PDT
Distributed Machine Learning with Apache Mahout - Suneel Marthi, Red Hat
Georgia A
Apache HBase: Overview and Use Cases - Sean Busbey, Cloudera Inc
Plaza A
Thursday
, May 12
9:00am PDT
Interactive Data Science from Scratch with Apache Zeppelin and Apache Spark - Felix Cheung (Additional Fee)
Lord Byron
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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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