Apache: Big Data 2016 has ended

Create Your Own Event

Apache: Big Data 2016

Register Now or Visit the Website for more Information

JN

Javier Nuñez

VISIONARIS
CEO & Founder
Bs As

visionaris.com.ar

10:40am PDT

The Evolution of Apache Kylin: Realtime and Plugin Architecture in Kylin2 - Luke Han, Apache Kylin Regency E Streaming SQL with Apache Calcite - Julian Hyde, Hortonworks Plaza A

11:40am PDT

Big Data in Biology - Omkar Reddy, Dirubhai Ambani University, India Georgia B SAMOA: A Platform for Mining Big Data Streams - Nicolas Kourtellis, Telefonica Plaza A

12:30pm PDT

Lunch (Attendees on Own) TBA

2:00pm PDT

Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn Plaza A

3:00pm PDT

Druid: Interactive Exploratory Analytics at Scale - Fangjin Yang, Imply Georgia 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

The New Time Series Kid on the Block - Florian Lautenschlager, QAware GmbH Regency E

8:00am PDT

Registration Georgia Foyer

9:00am PDT

Cancer Outlier Profile Analysis Using Spark - Mahmoud Parsian, Illumina, Inc. Georgia B

10:00am PDT

Breaking Spark: Top 5 Mistakes to Avoid When Using Apache Spark in Production - Neelesh Srinivas Salian, Cloudera Georgia B

10:50am PDT

Coffee Break Regency Foyer

11:20am PDT

Get the Best Out of Hive and Spark - Xuefu Zhang, Uber Georgia A

2:00pm PDT

Using Apache Big Data Stack to Analyse Storm-Scale Numerical Weather Prediction Data - Suresh Marru, Indiana University Georgia 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

3:00pm PDT

Real Time BOM Explosions with Apache Solr and Spark - Andreas Zitzelsberger, QAware GmbH Plaza C

10:50am PDT

Hiding Some of Geospatial Complexity - Martin Desruisseaux, Geomatys Plaza A SystemML - Declarative Machine Learning - Luciano Resende, IBM Georgia A Tailored for Spark - Petr Igrevski, eBay Plaza B 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 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

3:00pm PDT

Real-world Analytics with Solr Cloud and Spark - Johannes Weigend, QAware GmbH Georgia A Apache S2Graph: A Large Scale Distributed Graph Database - Doyung Yoon & Hyunsung Jo, Kakao Regency A Scylla: A Revolutionary Design for NoSQL Performs at 1.8M TPS/node - Don Marti & Tzach Livyatan, ScyllaDB Plaza B 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

The Many Faces of Apache Ignite - David Robinson, IBM Regency A Mining Public Datasets Using Apache Zeppelin (incubating) and Spark - Alexander Bezzubov, NFLabs Plaza C