The Data Day /Graph Day Texas Schedule

This is the mostly complete Data Day / Graph Day Texas Schedule. For a list of topics covered, visit the topics page.

8:00am

Registration (2nd Floor Tejas Room)

Emil Eifrem (Neo4j) : Keynote 3rd Floor - Salon C

Patrick McFadin (DataStax) : Choose your own Time Series adventure 2nd Floor - Classroom 201
Juan Sequeda (Capsenta) : Do I need a Graph Database 2nd Floor - Classroom 202
William Lyon (Neo4j) : Make Graphs Great Again - Analyzing Election Data Using Neo4j 2nd Floor - Classroom 203
Andrew Therriault (City of Boston) : Saving the World with Data 2nd Floor - Amphitheatre 204
Laine Campbell (SolaceClub) : Database Reliability Engineering 1st Floor - Classroom 101
Melissa Santos (Big Cartel) : Distances, Similarities, and Scores: Practical Model Examples 1st Floor - Classroom 103
Arnaud De Moissac (DCbrain) : Efficient Industrial Networks with Graphs and Deep Learning 1st Floor - Classroom 105
Gabor Melli (OpenGov) : Predictive Models for Inter-Linking Text-Rich Semantic Databases 1st Floor - Classroom 106

Ryan Boyd (Neo4j) : Graphs + Sensors = The Internet of Connected Things 2nd Floor - Classroom 201
Dave Bechberger (Expero) : Moving Your Data To Graph 2nd Floor - Classroom 203
Holden Karau (IBM) : Extending Spark Machine Learning - Adding your own algorithms & tools 2nd Floor - Amphitheatre 204
Sanghamitra Deb (Accenture) : Creating Knowledgebases from text in absence of training data 1st Floor - Classroom 103
Nelson Ray (Open Door) : When A/B Testing Fails: A Case Study in Real Estate 1st Floor - Classroom 104
Jason Plurad (IBM) : Enabling a Multimodel Graph Platform with Apache TinkerPop 1st Floor - Classroom 105
Pierre Gutierrez (Dataiku) : Pragmatic Deep Learning for image labelling. An application to a travel recommendation engine 1st Floor - Classroom 106
O'REILLY BOOKSIGNING: LAINE CAMPBELL - First Floor Lobby

Jason Kessler (CDK) : Scattertext: A Tool for Visualizing Differences in Language2nd Floor - Classroom 201
Corey Lanum (Cambridge Intelligence) : Graphs in time and space: A visual example 2nd Floor - Classroom 202
Jonathan Mugan (Deep Grammar) : How to Progress from NLP to Artificial Intelligence 2nd Floor - Classroom 203
Juliet Hougland (Cloudera) : How to Observe: Lessons from Epidemiologists, Actuaries and Charlatans 2nd Floor - Amphitheatre 204
Luca Garulli (OrientDB) : Graph Databases: what's next? 2nd Floor - Classroom 105
Ted Wilmes (Expero) : Time Series and Audit Trails: Modeling Time in an Industrial Equipment Property Graph 2nd Floor - Classroom 106
O'REILLY BOOKSIGNING: HOLDEN KARAU - First Floor Lobby

Lunch Served in the Tejas Room (2nd floor)

John Akred / Stephen O'Sullivan (Silicon Valley Data Science) : Data Pipelines with Kafka and Spark (2 hour deep-dive) 1st Floor - Classroom 201
Gergely Svigruha (Lynx Analytics) : Demography Estimation on a Large Telco Graph – a Case Study 1st Floor - Classroom 203
Jonathon Morgan (New Knowledge) : Truth is Dead 2nd Floor - Amphitheatre 204
Brendan Herger (Capital One) : Machine Learning with Opponents 1st Floor - Classroom 103
Paul Dix (Influx) : Towards an open standard for metrics and time series 1st Floor - Classroom 104
Denise Gosnell (PokitDok) : Graphs vs Tables: Ready? Fight ( 90 minutes ) 1st Floor - Classroom 105
William Lyon (Neo4j) : Neo4j Graph Database Workshop For The Data Scientist Using Python ( 90 minutes ) 1st Floor - Classroom 106

Chris LaCava (Expero) : Meaningful User Experience with Graph Data 2nd Floor - Classroom 202
Tim Gasper (Ponos) : Robot farmers and chefs: In the field and in your kitchen 2nd Floor - Classroom 203
Joey Echeverria (Rocana) : Building Production Spark Streaming Applications 2nd Floor - Amphitheatre 204
Patrick McFadin (DataStax) : Time for a new relation: Going from RDBMS to Graph 2nd Floor - Classroom 101
Alexandros Dimakis (University of Texas) : Using Graph Analytics for Machine Learning Problems 1st Floor - Classroom 103
Paul Dix (Influx) : Structured Logs with InfluxDB - Log management at scale without full text search 1st Floor - Classroom 104

Rob McDaniel (Live Stories) : Bootstrapping a corpus: how to build a rich topic library from a handful of words 2nd Floor - Classroom 201
Juan Sequeda (Capsenta) : Graph Query Languages 2nd Floor - Classroom 202
Dor Laor (ScyllaDB) : ScyllaDB dance like butterfly sting like bee 2nd Floor - Classroom 203
Nicholas Gaylord (Crowdflower) : Machine learning with humans in the loop 2nd Floor - Amphitheatre 204
Ryan Mitchell (LinkeDrive, Inc) : Web Scraping in a JavaScript World 1st Floor - Classroom 103
Stefan Krawczyk (Stitch Fix) : Scaling Data Science at Stitch Fix1st Floor - Classroom 104
David Mizell (Cray) : LEBM: Making a Thoroughly Nasty Graph Database Benchmark 1st Floor - Classroom 105
Alaa Mahmoud (IBM) : Building a Graph Database in the Cloud: challenges and advantages 1st Floor - Classroom 106
O'REILLY BOOKSIGNING: JOEY ECHEVERRIA - First Floor Lobby

Afternoon Break - the bar is open - 2nd Floor / 3rd Floor

Kisung Kim (Bitnine) : Graph Database Implementation on PostgreSQL 2nd Floor - Classroom 201
Mo Patel (Think Big (Teradata)) : Traversing our way through Spark GraphFrames and GraphX 2nd Floor - Classroom 202
Jacob Su Wang (OjoLabs) : Exploring Modeling Methods in Named Entity Recognition 2nd Floor - Classroom 203
Michelle Casbon (Qordoba) : Untangling the Ball of Strings: Machine Learning for Localization 2st Floor - Amphitheatre 204
Eric Tschetter Sampling is always Bad, approximate the Good way with Sketches 2nd Floor - Classroom 201
Haikal Pribad (GRAKN.AI) : How to Work with Large and Complex Graphs 1st Floor - Classroom 105
O'REILLY BOOKSIGNING: RYAN MITCHELL - First Floor Lobby

Nikhil Buduma (Remedy Health) : Architecting a data-driven healthcare system from first principles 2nd Floor - Classroom 201
Mike Downie (Expero) : Implementing Network Algorithms in TinkerPop's GraphComputer 2nd Floor - Classroom 203
Alex Korbonits (Remitly) : Distilling dark knowledge from neural networks 2nd Floor - Amphitheatre 204
Borislav Iordanov (GRAKN.AI) : Large Scale Graph Analytics Through Graql 1st Floor - Classroom 105

Post Conference Happy Hour / Meet and Greet : in the Tejas Room