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Parthasarathi Doraisamy
ENTERPRISE BIDI SOLUTIONS
Founder
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Monday
, May 9
10:40am PDT
A Faster Way for Faster Workflows - Ken Krugler, Scale Unlimited
Plaza C
Building Distributed Systems Using Apache Helix - Aditya Auradkar, LinkedIn
Regency A
Big Data DumbOps - Kevin Monroe, Canonical
Georgia B
Apache Hadoop 3 Current Status - Akira Ajisaka, NTT DATA
Regency B
Streaming SQL with Apache Calcite - Julian Hyde, Hortonworks
Plaza A
11:40am PDT
Migrating Hundreds of Hadoop Pipelines into Docker Containers - Noa Resare, Spotify
Plaza C
Building Large Scale Applications in Apache Hadoop YARN with Apache Twill - Henry Saputra & Terence Yim, Apache Software Foundation
Georgia A
Using the SDACK Architecture to Build a Big Data Product - Yu-Hsin Yeh, Trend Micro
Plaza B
Apache Trafodion Brings Operational Workloads to Hadoop - Rohit Jain, Esgyn
Regency E
Big Data in Biology - Omkar Reddy, Dirubhai Ambani University, India
Georgia B
2:00pm PDT
Accelerating Cloud with FPGAs - Eric Fukuda, University of Tornoto
Plaza C
SMACK Stack - Data Done Right - Stefan Siprell, codecentric AG
Georgia A
Apache HAWQ Resource Management and Integration with YARN - Yi Jin, Pivotal
Regency A
Convergence Rank and It’s Applications - Dalmo Cirne, mParticle, Inc.
Plaza B
Apache Bigtop: Overview and 2016 Community Update - Nate DAmico, Reactor 8 & Konstantin Boudnik, Memcore
Regency 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
Managing Enterprise Hadoop Clusters with Apache Ambari - Jayush Luniya, Hortonworks
Regency A
Big Data Analytics Using R and PySpark for Business, Finance and Marketing - Dirk Van den Poel, Ghent University
Plaza B
Introduction to Apache Kudu (Incubating) for Timeseries Storage - Dan Burkert, Cloudera
Regency E
Dockerized Hadoop Platform and Recent Updates in Apache Bigtop - Amir Sanjar, IBM & Yu-Hsin Yeh, Trend Micro
Regency 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
Next Gen Big Data Analytics with Apache Apex - Thomas Weise, DataTorrent
Georgia A
YARN: A Resource Manager for Analytic Platform - Tsuyoshi Ozawa, NTT
Regency A
ODPi: Advancing Open Data for the Enterprise - A Panel Discussion Moderated by Roman Shaposhnik, Pivotal Inc.
Plaza B
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
On the Bleeding Edge - Cassandra 3.4 and Beyond - Jonathan Haddad, Datastax
Regency B
5:10pm PDT
Hands-on Apache NiFi - Oleg Zhurakousky, Hortonworks
Georgia A
Large Scale SolrCloud Cluster Management via APIs - Anshum Gupta, IBM Watson
Regency A
Next-Gen Decision Making in Under 2ms - Ilya Ganelin, Capital One Data Innovation Lab
Plaza 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
Enforcing Fine Grained Role Based Authorization in Multi-tenant Streaming Data Platforms - Ashish Singh, Cloudera
Regency E
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
Kafka at Peak Performance - Todd Palino, Linkedin
Regency A
SASI - A Revolution for Secondary Indexes in Cassandra - Hanneli Tavante, Codeminer 42
Plaza B
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
Apache Hive 2.0 SQL Speed Scale - Alan Gates, Hortonworks
Georgia A
11:20am PDT
Applying Geospatial Analytics Using Apache Spark Running on Apache Mesos - Adam Mollenkopf, Esri
Plaza A
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
A Java Implementer’s Guide to Boosting Apache Spark Performance - Tim Ellison, IBM
Georgia B
Apache Eagle - Identify Threats Instantly Through Policy Engine and User Profile - Medha Samant, eBay
Regency E
Spark Cyborgs - Deep Integration of Spark with Parallel Relational Engines - Torsten Steinbach & Gustavo Arocena, IBM
Plaza C
2:00pm PDT
Building a Self-serve Kafka Ecosystem - Joel Koshy, LinkedIn
Regency A
Apache Kerby for Big Data Security - Kai Zheng, Intel
Regency E
Hive on ACID - Alan Gates, Hortonworks
Georgia A
3:00pm PDT
Geospatially Enable Your Hadoop, Accumulo, and Spark Applications with LocationTech Projects
Plaza A
From Big Data to Mobile Data with Apache CouchDB and PouchDB - Bradley Holt, IBM Cloudant
Plaza B
Real Time BOM Explosions with Apache Solr and Spark - Andreas Zitzelsberger, QAware GmbH
Plaza C
Wednesday
, May 11
9:00am PDT
Keynote: Apache Hadoop at 10 - Doug Cutting, Chief Architect, Cloudera
Regency CD
9:25am PDT
Keynote: Role of Apache in Transforming eBay’s Data Platform - Seshu Adunuthula, Sr. Director of Analytics Infrastructure, eBay
Regency CD
9:50am PDT
Keynote: Making Data Accessible - Ashish Thusoo, Co-founder & CEO, Qubole
Regency CD
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
Apache Yetus - Helping Solve the Last Mile Problem - Allen Wittenauer, Altiscale
Regency A
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
Network DVR Meets Big Data - Stephen Kraiman, ARRIS
Plaza B
Introducing Datasets: Bringing Compile Time Type Checking and Functional Transformations to Spark DataFrames - Holden Karau, IBM
Plaza C
2:00pm PDT
Combining Machine Learning Frameworks with Apache Spark - Tim Hunter, Databricks, Inc.
Georgia A
HiBench - The Benchmark Suite for Hadoop, Spark and Streaming - Carson Wang, Intel
Georgia B
3:00pm PDT
Monitoring in a Distributed World - Felix Massem, codecentric AG
Georgia B
4:10pm PDT
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
Less Is More: Doubling Storage Efficiency with HDFS Erasure Coding - Zhe Zhang, LinkedIn & Kai Zheng, Intel
Georgia B
The Many Faces of Apache Ignite - David Robinson, IBM
Regency A
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
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