The Data Day Texas 2020 Schedule

8:00 am

Registration and Morning Coffee (2nd Floor Tejas Room)

9:00 am

Opening Keynote Jesse Anderson (Big Data Institute) : Working Together as Data Teams - 3rd Floor - Salon C

10:00 am

Shioulin Sam - (Cloudera Fast Forward Labs) : Learning with limited labeled data - 3rd Floor - Salon C
Emanuel Ott - (iMerit) : How to trust your Human-In-The-Loop (HITL) data annotations - 3rd Floor - Salon D/E
Abe Gong - : Fighting pipeline debt with Great Expectations - 3rd Floor - Classroom 301 (down hallway to the right)
Clay Lambert - (Expero) : Stateful Streaming Application Integration - Leveraging Kafka Streams Processor API with KSQL DB - 2nd Floor - Classroom 203
Knowledge Graph Keynote Juan Sequeda : A Brief History of Knowledge Graph's Main Ideas - 2nd Floor - Amphitheatre 204
Rosaria Silipo - (KNIME) : Practicing data science: A collection of case studies - 1st Floor - Classroom 104
TBA - 1st Floor - Classroom 105
Rick Houlihan - (Amazon Web Services) : Where’s my lookup table? Modeling relational data in a denormalized world - 1st Floor - Classroom 106

10:50 am

Human in the Loop Keynote Robert Munro : Human Centered Machine Learning - 3rd Floor - Salon C
Sanghamitra Deb - (Chegg) : How to start your first computer vision project. - 3rd Floor - Salon D/E
TBA - 3rd Floor - Classroom 301 (down hallway to the right)
Chris Irwin Davis (Lymba) : Automated Encoding of Knowledge from Unstructured Natural Language Text into a Graph Database - 1st Floor - Classroom 201
90 minute workshop Michael Uschold (Semantic Arts) : Ontology for Data Scientists - 2nd Floor - Classroom 202
TBA - 2nd Floor - Classroom 203
Alon Gavra - (AppsFlyer) : Managing your Kafka in an explosive growth environment. - 2nd Floor - Amphitheatre 204
Jans Aasman - (Franz Inc.) : Creating Explainable AI with Rules - 1st Floor - Classroom 104
90 minute workshop Amy Hodler / Justin Fine (Neo4j) : Graph Feature Engineering for More Accurate Machine Learning - 1st Floor - Classroom 105
Denise Gosnell (DataStax) : Modeling, Querying, and Seeing Time Series Data within a Self-Organizing Mesh Network - 1st Floor - Classroom 106

11:40 am

Heidi Waterhouse (Launch Darkly) : The Death of Data : 2020 - 3rd Floor - Salon C
Jennifer Prendki - (Alectio) : Cost-Optimized Data Labeling Strategy - 3rd Floor - Salon D/E (slides)
Gian Merlino - (Imply) : Fresh and Fast with Apache Druid: Analytics for Real-time and Ad-hoc Applications - 3rd Floor - Classroom 301 (down hallway to the right)
Steve Sarsfield - (Cambridge Semantics) : Case Study: AnzoGraphDB at Parabole.ai - 2nd Floor - Classroom 201
TBA - 2nd Floor - Classroom 202
Stefan Plantikow (Neo4j) : GQL: Get Ready for a Standard Graph Query Language - 2nd Floor - Classroom 203
Paige Roberts (Vertica) : Architecting Production IoT Analytics - 2nd Floor - Amphitheatre 204
Arvind Prabhakar (StreamSets) : Deploying DataOps for analytics agility - 1st Floor - Classroom 104
Ted Wilmes (Expero) : JGTSDB: A JanusGraph/TimescaleDB Mashup - 1st Floor - Classroom 106

12:20 am

Buffett Lunch Served in the following locations
Tejas Room (2nd floor)
Carillon Restaurant (AT&T Hotel)
Graph Community Lunch / Meet and Greet - Sponsored by Graphileon - 1st Floor - Room 103

Query Processor of GraphflowDB and Techniques for the Graph Databases of 2020s.

1:10pm

Brad Klingenberg (StitchFix) : TBA - 3rd Floor - Salon C
Sanjay Joshi (DellEMC) : Time-Series analysis in healthcare: A practical approach3rd Floor - Salon D/E
Cassandra Keynote Jonathan Ellis (DataStax): The Next Five Years in Databases - 3rd Floor - Classroom 301 (down hallway to the right)
Semih Salihoglu - (University of Waterloo) : Query Processor of GraphflowDB and Techniques for the Graph Databases of 2020s. - 2nd Floor - Classroom 203
Jesse Anderson - (Big Data Institute) : Ask Me Anything - Apache Kafka. - 2nd Floor - Amphitheatre 204
Amy Hodler (Neo4j) : Responsible AI Requires Context and Connections - 1st Floor - Classroom 104
Ryan Wisnesky (Conexus) : Theory for the Working Database Programmer - 1st Floor - Classroom 105
Stefan Hausotte (G Data) / Ethan Hasson (Expero) : Building a Graph User-Interface for Malware-Analysis - 1st Floor - Classroom 106

2:00pm

Abraham Starosta / Tanner Gilligan : From Stanford to Startup: making academic human-in-the-loop technology work in the real world - 3rd Floor - Salon C
Sean Knapp (Ascend.io) : How Declarative Configurations and Automation Can Prevent A Data Mutiny - 3rd Floor - Salon D/E
Jeff Carpenter (DataStax): Cassandra 4.0 In Action - 3rd Floor - Classroom 301 (down hallway to the right)
Rick Paiste / Sam Jacob (Expero) : Securing your Analytics Environment at Scale - 2nd Floor - Classroom 203
Ying Ding (University of Texas) : Knowledge Graph for drug discovery - 2nd Floor - Amphitheatre 204
Database Keynote Marko Rodriguez : mm-ADT : A Multi-Model Abstract Data Type - 1st Floor - Room 104
TBA - 1st Floor - Classroom 105
90 minute workshopThomas Cook (Cambridge Semantics) : Intro to RDF/SPARQL and RDF*/SPARQL* - 1st Floor - Classroom 106

2:50pm

Corey Zumar (Databricks) : MLflow: An open platform to simplify the machine learning lifecycle - 3rd Floor - Salon C
TBA - 3rd Floor - Salon D/E
Clark Richey (FactGem) : Data Journeys: From Document DB to RDF to Property Graph - 2nd Floor - Classroom 201
Brian Hall (Expero): Scaling Your Cassandra Cluster For Fluctuating Workloads - 3rd Floor - Classroom 301 (down hallway to the right)
Mike Grove (Stardog): How to use a Knowledge Graph to Improve the Search Experience - 2nd Floor - Classroom 202
Tyler Glaittli - (CHG Healthcare) : Managing Relationships in the Healthcare Industry with Graphileon: A CHG Healthcare Use Case - 2nd Floor - Classroom 203
Anna Lisa Gentile - (IBM Research) : Information Extraction with Humans in the Loop - 2nd Floor - Amphitheatre 204
mm-ADT - Happy Hour / Meet and Greet with Marko Rodriguez - 1st Floor - Room 107
Karthik Ramasamy - (Streamlio) : AI/ML Model Serving using Apache Pulsar Functions - 1st Floor - Classroom 104
TBA - 1st Floor - Classroom 105

3:30pm

Afternoon Break
Open Bar and Espresso - Tejas Room (2nd floor)
Open Bar - 3rd Floor Lounge

4:20pm

Devangana Khokhar (Thoughtworks): Data Governance and FATTER AI - 3rd Floor - Salon C
Brad Knox (Bosch): Learning sequential tasks from human feedback - 3rd Floor - Salon D/E
Sijie Guo (StreamNative): Building a streaming data warehouse using Flink and Pulsar - 3rd Floor - Classroom 301 (down hallway to the right)
Karthik Ramasamy - (Streamlio) : Using interactive Querying of Streaming Data for Anomaly Detection - 2nd Floor - Classroom 201
90 minute workshop Victor Lee - (TigerGraph) : Using Graphs to Improve Machine Learning and Produce Explainable AI - 2nd Floor - Classroom 202
Timo Mechler / Charles Adetiloye (SmartDeployAI): Creating Cloud-Native Machine Learning Workflows on Kubernetes using ScyllaDB Backend as Persistent Storage - 2nd Floor - Classroom 203
Dale Markowitz (Google): Shining a Light on Dark Documents - 2nd Floor - Amphitheatre 204
TinkerPop Keynote: TinkerPop 2020 - 1st Floor - Room 104
Rob McDaniel (Sigma IQ): Immutable Data Pipelines for Fun and Profit - 1st Floor - Classroom 105
Bivin Sadler - (SMU) : Deep Learning and the Analysis of Time Series Data - 1st Floor - Classroom 106

5:10pm

TBA - 3rd Floor - Salon C
Gaja Vaidyanatha - (DBPerfMan) : Serverless Data Integration - 3rd Floor - Salon D/E
3rd Floor - Classroom 301 (down hallway to the right)
Abe Gong - : Great Expectations - Office Hours - 2nd Floor - Classroom 201
Brent Schneeman: Bigger data vs. better math: which is most effective in ML? - 2nd Floor - Classroom 203
Jonathan Mugan (DeUmbra): Moving Your Machine Learning Models to Production with TensorFlow Extended - 2nd Floor - Amphitheatre 204
Human in the Loop - Happy Hour / Meet and Greet with Rob Munro - Sponsored by iMerit1st Floor - Room 107
Sony Green (Kineviz): Crime Analysis with Visual Graph Transformation - 1st Floor - Classroom 104
Shawn Rutledge (Sigma IQ): Machine Learning Counterclockwise - 1st Floor - Classroom 105
Ajay Chander / Jeffrey Fischer / (Fujitsu) - : Fujitsu Graph AI Technologies for Powering Business Decisions - 1st Floor - Classroom 106

6:00pm

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