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Apache: Big Data North America 2017 will be held at the Intercontinental Miami in Miami, Florida. 

Register now for the event taking place May 16-18, 2017. 
PM

Paulius Mikalainis

Verizon
Preparing and cleaning data. Selecting features. Visualization. Text Analytics.
Tuesday, May 16
 

8:00am EDT

Breakfast Ballroom Foyer Registration Mezzanine

9:00am EDT

Keynote: State of the Feather - Sam Ruby, President, Apache Software Foundation Versailles Ballroom

9:25am EDT

Keynote: Training Our Team in the Apache Way - Alan Gates, Co-founder, Hortonworks Versailles Ballroom

9:50am EDT

Keynote: Apache CouchDB: A Tale of Community, Cooperation and Code - Adam Kocoloski, Fellow and CTO for the Watson Data Platform, IBM Versailles Ballroom

10:10am EDT

Keynote: Digital Psychometrics and it's Future Effects on Technology - Sandra Matz, Computational Social Scientist Versailles Ballroom

10:30am EDT

Coffee Break Ballroom Foyer

11:05am EDT

Apache​ ​Mahout:​ ​An​ ​Extendable​ ​Machine​ ​Learning​ ​Framework​ ​for​ ​Spark​ ​and​ ​Flink - Trevor Grant, IBM Balmoral Starting with Apache Spark, Best Practices and Learning from the Field - Felix Cheung, Microsoft Trianon

12:05pm EDT

Apache Hivemall: Scalable Machine Learning Library for Apache Hive/Spark/Pig - Makoto Yui, Treasure Data, Inc. & Takeshi Yamamuro, NTT Balmoral Profiling Spark Applications - Jayesh Thakrar, Conversant Trianon

12:55pm EDT

Lunch ( Attendees on Own) TBA

2:30pm EDT

Writing Apache Spark Applications Using Apache Bahir - Luciano Resende & Leucir Marin, IBM Trianon Spark SQL + Pig-Latin: Combine Query Language and Data Flow Language for Data Science - Jeff Zhang, Hortonworks Alhambra

3:30pm EDT

Understanding Apache MXNet - Dominic Divakaruni, Amazon Web Services Balmoral Creating a Recommender System with ElasticSearch & Apache Spark - Alvaro Santos Andres, Ericsson Trianon

4:20pm EDT

Coffee Break Ballroom Foyer

4:40pm EDT

R4ML: A R Bridge to Apache SystemML and SparkR - Alok Singh, IBM Spark Technology Center Balmoral Efficient Columnar Storage with Apache Parquet - Ranganathan Balashanmugam, ThoughtWorks Alhambra
 
Wednesday, May 17
 

8:00am EDT

Breakfast Ballroom Foyer Registration Mezzanine

9:00am EDT

Keynote Panel Discussion: How to Succeed in IoT 2.0 - Abhi Arunachalam, Battery Ventures; Sudip Chakrabarti, Lightspeed Venture Partners; James Pace, Runtime; Roman Shaposhnik, Pivotal Versailles Ballroom

9:45am EDT

Coffee Break Ballroom Foyer

10:15am EDT

Using Apache Beam for Batch, Streaming, and Everything in Between - Dan Halperin, Google Balmoral The Rise of Real-Time: Apache DistributedLog and Its Stream Store - Sijie Guo, Twitter Biscayne

11:15am EDT

Data Profiling in Apache Calcite - Julian Hyde, Hortonworks Windsor

12:15pm EDT

Standards-Compliant Cloud Orchestration with Apache AriaTosca - Tal Liron, GigaSpaces Trianon

1:05pm EDT

Lunch ( Attendees on Own) TBA

2:30pm EDT

Khermes: An Open-Source and Distributed Data Generator for Apache Kafka - Alberto Rodriguez & Emilio Ambrosio, Stratio Windsor Routing Trillion Messages Per Day @Twitter - Lohit Vijayarenu & Gary Steelman, Twitter Biscayne

4:20pm EDT

Coffee Break Ballroom Foyer

4:40pm EDT

Expanding Apache Zeppelin into Your Cluster - Jongyoul Lee, ZEPL Balmoral

5:40pm EDT

TensorFlow in the Wild: From Cucumber Farmer to Global Insurance Firm - Kazunori Sato, Google Biscayne
 
Thursday, May 18
 

8:00am EDT

Breakfast Ballroom Foyer Registration Mezzanine

9:00am EDT

Challenges of Monitoring Distributed Systems - Nenad Bozic, SmartCat Biscayne

10:00am EDT

A Funny Thing Happened on the Way to Full Text Search: I Shook my Search Engine and Analytics Fell Out! - Patrick Hoeffel, Polaris Alpha Biscayne

10:50am EDT

Coffee Break Ballroom Foyer

11:20am EDT

Cluster Continuous Delivery with Oozie - Clay Baenziger, Bloomberg Balmoral Presto - Swiss Army SQL Knife on Hadoop - Marek Gawiński & Dariusz Eliasz, Allegro Group Windsor

12:20pm EDT

ING CoreIntel: On The Bank Secret Service - Krzysztof Adamski, ING Trianon

1:10pm EDT

Lunch (Attendees on Own) TBA

2:40pm EDT

Scala + SQL = Union of Two Equals in Spark - Jayesh Thakrar, Conversant Windsor