The Data Day Texas Schedule


2nd Floor
Tejas Room
- Registration and Morning Coffee

We have a full schedule. Best to start off with coffee.
If you need espresso, you can find it across the courtyard in the 125 cafe.
Would someone like to sponsor breakfast tacos?


3nd Floor
Salon C - Keynote: Charity Majors
Charity Majors (google) has been a fixture in the Bay Area data/ops scene for quite a while now. Having just left her position at Parse (acquired by Facebook) where she managed a team of production engineers responsible for the care and feeding of over 500,000 mobile apps, Charity is kicking off 2016 as co-founder of Hound -- along with fellow badasses Rick Branson and Christine Yen. We asked Charity what she wanted to talk about, and she said:
Let's talk about making better choices with software in 2016! Whether you're selecting a new polyglot persistence layer, launching a startup from scratch or modernizing a mature environment, there have never been more opportunities for chaos and disaster. The Victorian Ladies' Tea Society can help.


3nd Floor
Salon C - Kurt Brown (Netflix): Elevating Your Data Platform
Salon DE - John Akred (Silicon Valley Data Science): Running Agile Data Science Teams
Conference 301 - Claudia Perlich (Dstillery): Eulogy to the Click: How predictive modeling and big data is killing our favorite metrics!

2nd Floor
Amphitheater 204 - Rob Munro (Idibon): Keynote: Natural Language Processing
Classroom 203 - Hadley Wickham (RStudio): Expressing yourself with R (2 hours)
Classroom 202 - Preetha Appan (Indeed): Building Recommendations at Scale: Lessons Learned


3nd Floor
Salon C - Eric Sammer (Rocana): High cardinality time series search: a new level of scale
Salon AB - Office Hour with Kurt Brown of Netflix
Salon DE - Ben Reiter: Delivering Real Time Analytics for Mobile Ad Serving
Conference 301 - Michael Berthold (KNIME): Data Science for the Masses: Mission Impossible?

2nd Floor
Amphitheater 204 - Ted Dunning (MapR): Modern Streaming Analytics, Flow versus State

1st Floor
Classroom 106 - Michelle Casbon (Idibon): Under the Hood of Idibon’s Scalable NLP Services


3nd Floor
Salon C - Jay Kreps (Confluent): Apache Kafka and the Stream Data Platform
Conference 301 - Homin Lee (DataDog): Detecting Outliers and Anomalies in Real-Time at Datadog
NEW Salon AB - Office Hour with Hadley Wickham of RStudio
Salon DE - Patrick McFadin: Storing Time Series Data with Apache Cassandra
NEW Salon AB - Office Hour with Eric Sammer of Rocana

2nd Floor
NEW Amphitheater 204 - Hank Roark (H2O): Force multiplier for data science: Introduction to H2O
Classroom 203 - Peter Zaitsev (Percona): MySQL 5.7 in a Nutshell

1st Floor
Classroom 106 - Ellen Friedman (MapR): Data Decisions and Society


3nd Floor
2nd Floor
Tejas Room - Lunch
1st Floor


3nd Floor
Salon C - Eric Schmidt (Google): Two Worlds Become A Much Better One
Salon DE - Luca Garulli (OrientDB): Polyglot Persistence vs Multi-Model Databases
Conference 301 - Diego Oppenheimer (Algorithmia): Algorithm Marketplaces and the new "algorithm economy"
Salon AB (O'Reilly Room) - Booksigning/Office Hours with Jay Kreps

2nd Floor
Amphitheater 204 - Ryan Mitchell (LinkeDrive): Spelunking the Web with Python: Writing Scrapers for Any Situation
Classroom 203 - Peter Zaitsev (Percona): MySQL Indexing Best Practices
NEW - Classroom 202 - Corey Lanum (Cambridge Intelligence): Intro to Graph Visualization

1st Floor
Classroom 106 - Christopher Moody (Stitchfix): word2vec, LDA, and introducing a new hybrid algorithm: lda2vec


3nd Floor
Salon C - Patrick McFadin (DataStax): Laying down the SMACK on your data pipelines
Salon DE - Carl Anderson (Warby Parker): Creating a Data-Driven Organization
Conference 301 - Fintan Quill (KX): Time-series analytics for Big Data and IoT
Salon AB (O'Reilly Room) - Booksigning/Office Hours with Ryan Mitchell author of Webscraping with Python

2nd Floor
Amphitheater 204 - Hank Roark (H2O): Fast, Distributed Machine Learning for Python using H2O
Classroom 203 - Michael Berthold (KNIME): Blending Tools and Data in KNIME: From .csv, R, and Python to Spark, MLlib and Hive
Classroom 202 - Kent Graziano: Data Warehousing - 2016

1st Floor
Classroom 106 - Nick Gaylord (Idibon): Starting from scratch: Exploring and analyzing text data in Idibon Studio


3nd Floor
Salon C - Joel Grus (Google): Learning (and Teaching) Data Science from First Principles
Salon DE - Holden Karau (IBM): Beyond Shuffling - Tips & Tricks for Scaling Apache Spark Programs
Conference 301 - Douglas Daniels: Parquet at Datadog: Fast, Efficient, Portable Storage for Big Data
Salon AB (O'Reilly Room) - Booksigning/Office Hours with Carl Anderson author of Creating the Data-Driven Organization

2nd Floor
Amphitheater 204 - jonathan Gray (Cask): Data Lake Architectures and the fast path with Cask Hydrator
Classroom 203 - Eddie Garcia (Cloudera): Data Security for Smart Cities
NEW Classroom 202 - Russell Jurney: Crowdsourcing like a boss: how to recruit, train, promote and employ a virtual workforce

1st Floor
Classroom 101 - Jason Kessler (CDK): From Sentiment to Persuasion Analysis
Classroom 106 - William Lyon (Neo4j): Natural Language Processing With Graph Databases


3nd Floor
Salon C - Sarah Guido (Bitly): The Good, the Bad, and the Ugly
Salon DE - Stephen O'Sullivan (Silicon Valley Data Science): Choosing an HDFS data storage format: Avro vs. Parquet and more
Salon AB (O'Reilly Room) - Booksigning/Office Hours with Joel Grus, author of Data Science from Scratch
Salon AB (O'Reilly Room) - Booksigning/Office Hours with Holden Karau

2nd Floor
Amphitheater 204 - Fangjin Yang (Imply) Open Source Lambda Architecture with Kafka, Samza, Hadoop, and Druid
Classroom 203 - Nakul Jeirath (Wellaware) A Journey from Relational to Graph Database
Classroom 202 - Ed Capriolo (Huffington Post) Building a NoSQL database from scratch

1st Floor
Classroom 101 - Brent Schneeman (Homeaway): NLP @HomeAway: how to mine reviews and track competition
Classroom 106 - Lukas Biewald (Crowdflower): Why human-in-the-loop machine learning is the future of data science


2nd Floor
Tejas Room - Meet and Greet with the Data Day Speakers