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Catalin TIBULCA

10:40am PDT

Building Distributed Systems Using Apache Helix - Aditya Auradkar, LinkedIn Regency A How ODPi Leveraged Apache Bigtop to Get to Market Faster (and You Can Too!) - Roman Shaposhnik & Konstantin Boudnik, Pivotal Inc. Plaza B Streaming SQL with Apache Calcite - Julian Hyde, Hortonworks Plaza A

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

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 Data Science Applied: A Utilities Sector Case Study - Bram Steurtewagen Regency E Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn Plaza A

3:00pm PDT

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 Generating Many Resources from One Set of Schemas with Apache Streams - Steve Blackmon, People Pattern Plaza A

4:10pm PDT

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 Designing Workflows with OODT - Tom Barber, Meteroite Consulting Plaza A

5:10pm PDT

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

9:00am PDT

Open Geospatial Standards and Open Source - George Percival, Open Geospatial Consortium (OGC) Plaza A Wikimedia Content API: A Cassandra Use-case - Eric Evans, Wikimedia Foundation Plaza B 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

SASI - A Revolution for Secondary Indexes in Cassandra - Hanneli Tavante, Codeminer 42 Plaza B Clickstream Analysis with Apache Spark - Andreas Zitzelsberger, QAware GmbH Plaza C 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 Cassandra Multi-datacenter Operations Essentials - Julien Anguenot, iland Internet Solutions, Corp Plaza B Spark Cyborgs - Deep Integration of Spark with Parallel Relational Engines - Torsten Steinbach & Gustavo Arocena, IBM Plaza C Get the Best Out of Hive and Spark - Xuefu Zhang, Uber Georgia A

2:00pm PDT

SciSpark: MapReduce in Atmospheric Sciences - Kim Whitehall, NASA Jet Propulsion Laboratory Plaza A Zipkin & Apache Cassandra: A Big Data Tracing Case Study - Mick Semb Wever, The Last Pickle Plaza B On the Fly Retraining of Predictive Analytical Models Using Spark Streaming: An Equity-price Direction Prediction Case Study - Tijl Carpels, Ghent University Plaza C 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 Using Kafka and Kudu for Fast, Low-latency SQL Analytics on Streaming Data - Mike Percy & Ashish Singh, Cloudera Georgia A

10:50am PDT

Hiding Some of Geospatial Complexity - Martin Desruisseaux, Geomatys Plaza A SystemML - Declarative Machine Learning - Luciano Resende, IBM Georgia 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 Boost Spark ML Performance with Project Mnemonic - Yanping Wang & Gang Wang, Intel Corp. Georgia A Introducing Datasets: Bringing Compile Time Type Checking and Functional Transformations to Spark DataFrames - Holden Karau, IBM Plaza C

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 Shared Memory Layer for Spark Applications - Dmitry Setrakyan, GridGain 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 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 Secure Spark Shuffle: A Fast and Convenient Approach Using Chimera - Cheng Xu, Intel Plaza C

5:10pm PDT

Mining Public Datasets Using Apache Zeppelin (incubating) and Spark - Alexander Bezzubov, NFLabs Plaza C

9:00am PDT

Getting Started with Apache OODT - Tom Barber, Meteroite Consulting (Additional Fee) Plaza A Getting Started with Machine Learning & Spark - Holden Karau, IBM (Additional Fee) Constable Interactive Data Science from Scratch with Apache Zeppelin and Apache Spark - Felix Cheung (Additional Fee) Lord Byron Mission to NARs with Apache NiFi - Aldrin Piri, Hortonworks (Additional Fee) Kensington