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Conferences / Data Day Texas

Data Day Texas 2023

Jan 28, 2023 · AT&T Hotel and Conference Center (University of Texas at Austin), Austin, TX, United States

Conference
Data Day Texas Vendor & industry
Dates
Jan 28, 2023
Venue
AT&T Hotel and Conference Center (University of Texas at Austin)
Place
Austin, TX, United States
Format
In person
Status
Past
Attendance
—
Website
datadaytexas.com
Recorded
20 sponsors · 63 speaker appearances
Notes
Speakers: all sessions on the year's sessions page (includes the Graph Day / track sessions held within Data Day); affiliations as shown on the sessions page, or from the speaker bio on the speakers page when the sessions page gives none.

Ticket prices

TicketPriceValid untilNotesSource
Early bird (through August 9)$255Aug 9, 2022Face value derived from the listed $262.37 incl. Eventbrite fees (fee model fitted from the other two tiers on the same page).web.archive.org
Registration (through December 5)$310Dec 5, 2022Face value derived from the listed $326.49 incl. Eventbrite fees.web.archive.org
Team discount (3 or more)$215—Face value before Eventbrite fees. Snapshot Aug 2022.web.archive.org
Team discount (3 or more)$260—Face value before Eventbrite fees. Snapshot Dec 2022.web.archive.org
Registration$450—Face value before Eventbrite fees. Snapshot Aug 2022.web.archive.org
Registration$475—Face value before Eventbrite fees. Snapshot Dec 2022.web.archive.org

Sponsors 20

Gold 4

Silver 13

Other 3

Speakers and talks 63

SpeakerCompanyRoleTalkLinks
Adi PolakTreeverseKeynoteEngineering Data Systems for the next 10 years of growth—
Andrew Nguyen—KeynoteAI in Healthcare : Opportunities Amid Landmines—
Bill Inmon—KeynoteTurning your Data Lake into an Asset—
Bonny McClain—Keynote"one ant , one bird, one tree"—
Chad Sanderson—KeynoteData Contracts - Accountable Data Quality—
Gwen ShapiraStealthKeynoteThings databases don’t do - but should!—
Hala NelsonJames Madison UniversityKeynoteHow Math Simplifies AI—
Holden Karau—KeynoteMetaprogramming — making easy problems hard enough to get promoted (w/ Spark & Friends)—
Jans AasmanFranz IncKeynoteNeuro-Symbolic Story Extraction from Natural Language—
Joe ReisTernary DataKeynoteFundamentals of Data Engineering—
John BohannonPrimerKeynoteData Demonology—
Juan Sequedadata.worldKeynoteShow me the money: Practical tips for data teams to show ROI—
Matthew HousleyTernary DataKeynoteFundamentals of Data Engineering—
Shirshanka DasDataHubKeynoteIn Search of the Control Plane for Data—
Aaron PloetzDataStaxSpeakerReal-Time Recommendations with Graph and Event Streaming—
Alex MercedDremioSpeakerApache Iceberg and the Right to Be Forgotten—
Alex MercedDremioSpeakerApache Iceberg: An Architectural Look Under the Covers—
Andy PetrellaKensuSpeakerHow to automate data monitoring to support a scaling data strategy—
Artem ChebotkoDataStaxSpeakerDatabase Schema Optimization in Apache Cassandra—
Arvind PrabhakarStreamSetsSpeakerA DataOps Approach to Global Data Observability—
Bill Inmon—SpeakerThe Architected Cloud Environment—
Brandon BaylorChevronSpeakerBeyond process safety: expanding assurance capabilities and guaranteeing system safety with mathematics—
Brent Schneeman—SpeakerBigger Data beats Better Math, No Question—
Chris TabbLEIT DATASpeakerThe Modern Data Stack Evolution - 2023 will be the year of consolidation—
Corey LanumCambridge IntelligenceSpeakerGraphing without the database - creating graphs from relational databases—
Dashiell BrookhartKNIMESpeaker——
Dave McCombSemantic ArtsSpeakerZero-copy integration—
David HughesGraphableSpeakerClinical trials exploration: surfacing a clinical application from a larger Bio-Pharma KnowledgeGraph—
Dean WamplerIBMSpeakerReinforcement Learning with Ray RLlib—
Haikal PribadiVaticleSpeakerIntroducing a Strongly-typed Database: TypeDB & TypeQL—
Heather HeddenSemantic Web CompanySpeakerIntroduction to Taxonomies for Data Scientists—
James HansenChevronSpeakerBeyond process safety: expanding assurance capabilities and guaranteeing system safety with mathematics—
Janet SixTom Sawyer SoftwareSpeakerWhere Is the Graph? Best practices for extracting data from unstructured data sources for effective visualization and analysis—
Janet SixTom Sawyer SoftwareSpeakerVisualizing Connected Data as It Evolves Over Time—
Jeff CarpenterDataStaxSpeakerYour data infrastructure will be in Kubernetes—
Jeffrey CarpenterDataStaxSpeakerWhy your database needs an API—
Jike Chong—SpeakerData Professional's Career: Techniques to Practice Rigor and Avoid Ten Mistakes—
Jike Chong—SpeakerFor the overwhelmed data professionals: What to do when there is so much to do?—
Joey JablonskiPythianSpeakerBuilding MLOps Organizations for Scale—
Jonathan MuganDeUmbraSpeakerHow to build someone we can talk to—
Justin FineKatana GraphSpeakerAugmenting Fraud Protection Pipelines At Scale Using Graph Analytics and AI Features—
Max De MarziRelationalAISpeakerOutrageous ideas for Graph Databases—
Michael BertholdKNIMESpeakerTowards Data Science Design Patterns—
Michael UscholdSemantic ArtsWorkshopOntology for Data Scientists - 90 minute tutorial—
Paige RobertsVerticaSpeakerBuild your analytics architecture for performance and growth on a budget—
Patrick McFadinDataStaxSpeakerCassandra on ACID: this changes everything—
Patrick McFadinDataStaxSpeakerYour data infrastructure will be in Kubernetes—
Ryan BoydMotherDuckSpeakerYour laptop is faster than your data warehouse. Why wait for the cloud? (DuckDB)—
Sanghamitra DebCheggSpeakerComputer Vision Landscape at Chegg: Present and Future—
Santona TuliUpsolverSpeakerAuthoring unified batch and streaming workflows—
Scott FincherKNIMESpeaker——
Sean RobinsonGraphableSpeakerIntroduction to Graph Data Science for Python Developers—
Sivaram ArabandiOntoproSpeakerOntology in Healthcare: a survey—
Tim BerglundStarTreeSpeakerAn Introduction to Apache Pinot—
Tomás Sobat StöfselVaticleSpeakerWhat You Can't do With Graph Databases—
Tomás Sobat StöfselVaticleSpeakerEnabling the Computational Future of Biology—
Weidong YangKinevizSpeakerArtistic Processing: the Untapped Power of Data Visualization—
William LyonNeo4jSpeakerHands-On Introduction To GraphQL For Data Scientists & Developers—
Ying DingThe University of Texas at AustinSpeakerBiomedical Knowledge Graph to Power Better AI in Health—
Yue Cathy Chang—SpeakerData Professional's Career: Techniques to Practice Rigor and Avoid Ten Mistakes—
Yue Cathy Chang—SpeakerFor the overwhelmed data professionals: What to do when there is so much to do?—
Zac CarricoFreenomeSpeakerLessons learned adopting Ray—
Zhamak Dehghani—Speaker——

Sources