The Data Day Texas 2024 Schedule
We're currently accepting speaker submissions for Data Day Texas 2025. Join us for our best edition ever!
8:00 am
Registration and Morning Coffee (2nd Floor Tejas Room)
9:00 am
Opening Keynote
Sol Rashidi : Practitioner turned Executive; lessons I learned about how decisions are really made with data ecosystems - 3rd Floor - Salon C
10:00 am
Mikiko Bazeley : MLOps: Where do we go from here? - 3rd Floor - Salon C
Clair Sullivan : Ensuring Success for your Data Team - 3rd Floor - Salon D/E
Tom Zeppenfeldt : Enhancing low-code with graph, vector and AI - 2nd Floor - Classroom 201
David Hughes : Advancing Graph Data Insights through a Graph Query Engine: PuppyGraph - 2nd Floor - Classroom 202
Roopa Tangirala : From Open Source to SaaS: The ClickHouse Odyssey - 2nd Floor - Classroom 203
Juan Sequeda : Past, Present and Future of Data Catalogs - 2nd Floor - Amphitheatre 204
Sean Robinson : Introduction to Graph Data Science in Python (90 minutes) - 1st Floor - Classroom 101
Alex Merced : Exploring the Apache Iceberg Ecosystem - 1st Floor - Classroom 104
10:50 am
Amy Hodler : Patterns of Power: Uncovering control points to influence outcomes - 3rd Floor - Salon C
Lindsay Murphy : Cost containment: Scaling your data function on a budget - 3rd Floor - Salon D/E
Vish Puttagunta : Building a Resilient Food Supply Chain with Neo4J and Graphileon - 2nd Floor - Classroom 201
Michelle Yi : Building Generative AI Applications: An LLM Case Study - 2nd Floor - Classroom 202
Peter Boncz : An abridged history of DuckDB: database tech from Amsterdam - 2nd Floor - Classroom 203
Chris Tabb : Data-Driven Transformation: Building a Business Value Machine - 2nd Floor - Amphitheatre 204
Sean Robinson : Introduction to Graph Data Science in Python (continued) - 1st Floor - Classroom 101
Dipankar Mazumdar : OneTable: Interoperate between Apache Hudi, Delta Lake & Apache Iceberg - 1st Floor - Classroom 104
Jess Haberman : Ten Simple Rules for Writing a Technical Book - 1st Floor - Classroom 108
11:40 am
Juan Sequeda : The Role of Knowledge Graphs for LLM accuracy in the Enterprise - 3rd Floor - Salon C
Santona Tuli : Data Quality Skepticism - 3rd Floor - Salon D/E
Scott Fincher : Low-Code Data Analysis with KNIME Analytics Platform - 2nd Floor - Classroom 201
Veronika Durgin : On the Data Highway: Is Data Vault Speedy or Reckless? - 2nd Floor - Classroom 202
Peter Boncz / Ryan Boyd : DuckDB - Ask me anything - 2nd Floor - Classroom 203
Malcolm Hawker : Data Product Chaos - 2nd Floor - Amphitheatre 204
Paige Roberts : When linear scaling is too slow – strategies for high scale data processing - 1st Floor - Classroom 104
12:20 pm
Main Lunch - Tejas Room (2nd floor)
Graph / Knowledge Graph Lunch - Room 107 (first floor)
Data Engineering Lunch - Room 103 (first floor)
1:10pm
Jonathan Mugan : Practical Large Language Models: Using LLMs in Your Business With Python - 3rd Floor - Salon C
Matthias Broecheler : We decomposed the database - now what? - 3rd Floor - Salon D/E
Sean Robinson : LLMs for Enhanced ETL into Graph - 2nd Floor - Classroom 201
Ryan Mitchell : Managing Competing AI Decisions in Large Ontologies - 2nd Floor - Classroom 202
Ron Itelman : Data Products: The Value of Simplicity - 2nd Floor - Classroom 203
Joe Reis / Sol Rashidi : Bridging the Gap: Enhancing Collaboration Between Executives and Practitioners in Data-Driven Organizations - 2nd Floor - Amphitheatre 204
Amy Hodler / Michelle Yi : Causality: The Next Frontier of GenAI Explainability (90 minutes) - 1st Floor - Classroom 101
Roy Hasson : ELT and ETL are not products, technologies, or features. - 1st Floor - Classroom 104
2:00pm
Susan Shu Chang : Distilling the meaning of language: How vector embeddings work - 3rd Floor - Salon C
Juha Korpela : Conceptual Modeling - a practical way to capture business needs for data products - 3rd Floor - Salon D/E
David Hughes : Accelerating Insights with Memgraph and GraphXR: A Unified Approach to Graph Database Analytics and Visualization. - 2nd Floor - Classroom 201
Alex Merced : The Ins & Outs of Data Lakehouse Versioning at the File, Table, and Catalog Level - 2nd Floor - Classroom 202
Hubert Dulay : Introduction to the Streaming Plane: Bridging the Operational and Analytical Data Planes - 2nd Floor - Classroom 203
Adi Polak : Demystifying the next advancements of LLMs: RAG: Retrieval-augmented generation - 2nd Floor - Amphitheatre 204
Amy Hodler / Michelle Yi : Causality: The Next Frontier of GenAI Explainability (continued) - 1st Floor - Classroom 101
Aaron Wilkerson : You need to be more strategic - The mantra for data leader career growth. - 1st Floor - Classroom 104
Ryan Wisnesky : Computational Trinitarianism - 1st Floor - Classroom 108
2:50pm
Greg Coquillo : I am an AI Product Manager, Am I Not? - 3rd Floor - Salon C
Roy Hasson : Battle of the warehouses, lakehouses and streaming DBs, choose your platform wisely - 3rd Floor - Salon D/E
Marko Budiselic : Querying a Graph Through an LLM. - 2nd Floor - Classroom 201
Brian Greene : How polyglot storage cost me a job, almost killed data modeling, (and started my quest for one data model to rule them all) - 2nd Floor - Classroom 202
Jessica Talisman : What Data Architects and Engineers can learn from Library Science - 2nd Floor - Classroom 203
Jans Aasman : Beyond Human Oversight: The Rise of Self-Building Knowledge Graphs in AI - 2nd Floor - Amphitheatre 204
Jonathan Ellis : Under the hood of vector search with JVector - 1st Floor - Classroom 104
Hala Nelson : My Attempt To Build a Foundation for AI and Data - 1st Floor - Classroom 108
3:30pm
Afternoon Break
Open Bar 2nd Floor Lobby
Open Bar - 3rd Floor Lobby
4:20pm
Jesse Anderson : The State of Data Engineering ... and not repeating history. - 3rd Floor - Salon C
Holden Karau : Using LLMs to Fight Health Insurance Denials: From Data Synthesis to Production - 3rd Floor - Salon D/E
Janet Six : Discover Insights in a Large Multi-Decade Life Sciences Database Through Data Visualization and Analysis - 2nd Floor - Classroom 201
Satoru Hayasaka : LLMs In a Low-Code Environment – Is it Possible? (90 minutes) - 2nd Floor - Classroom 202
Shane Murray : Data's Product Pivot: The Reliability Imperative - 2nd Floor - Classroom 203
Ryan Dolley : Business Intelligence in the age of AI - 2nd Floor - Amphitheatre 204
William Lyon : Geospatial Analytics With Apache Sedona In Python, R & SQL - 1st Floor - Classroom 104
Ryan Wisnesky : Expert Systems are Generative AIs - 1st Floor - Classroom 108
5:10pm
Jonathan Mugan : Survey of recent progress in intelligent robotics - 3rd Floor - Salon C
Joe Reis / Matt Housley : Closing Data Town Hall 2st Floor - Amphitheatre 204
with happy hour beverages courtesy of Upsolver
Megan Lieu : Evolving as a Data Scientist in the age of AI - 3rd Floor - Salon D/E
6:00pm
Post Conference Networking
7:15pm
Launch Party for Graph Geeks with Amy Hodler
Location: Gabriel's Cafe - AT&T Conference Hotel Lower Level.
