Data Conference Databasea Query.Farm index
Conferences / Data Day Texas

Data Day Texas 2019

Jan 26, 2019 · AT&T Hotel and Conference Center (University of Texas at Austin), Austin, TX, United States

Conference
Data Day Texas Vendor & industry
Dates
Jan 26, 2019
Venue
AT&T Hotel and Conference Center (University of Texas at Austin)
Place
Austin, TX, United States
Format
In person
Status
Past
Attendance
—
Homepage (Jan 2019) says the most recent edition (2018) drew over 1000 attendees; no 2019 figure found.
Website
datadaytexas.com
Recorded
20 sponsors · 58 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. 9th edition. Graph Day ran as a track within the conference. Sponsors from the venue-page sponsor block (a commented-out Indeed platinum logo was excluded).

Ticket prices

TicketPriceValid untilNotesSource
Registration (early, through Nov 26)$315Nov 26, 2018Face value before Eventbrite fees.web.archive.org
Registration$500—Face value before Eventbrite fees.web.archive.org

Sponsors 20

Platinum 1

Gold 3

Silver 13

Startup 3

Speakers and talks 58

SpeakerCompanyRoleTalkLinks
Gwen ShapiraConfluentKeynoteLies Enterprise Architects Tell—
Sean OwenDatabricksKeynoteObvious conclusions that are actually wrong—
Adam ZegelinInstaclustrSpeakerUsing New Open Source Tools for Apache Cassandra – Kubernetes Operator, Prometheus Exproter, and LDAP + Kerberos Authentication—
Álvaro HernándezOnGresSpeakerWhy PostgreSQL? PostgreSQL 10 coolest features—
Amy HodlerNeo4jSpeakerCommunity Detection using Graph Algorithms and Neo4j—
Artem ChebotkoDataStaxWorkshopHands-On Introduction to Gremlin Traversals—
Barry ZaneCambridge SemanticsSpeakerChoosing the Right Graph Architecture for Your Use-Case - Operations vs. Analytics—
Benjamin Ortiz Ulloa—SpeakerExploring Graphs with R and igraph—
Chris LuUberSpeakerStatistically representative graph generation and benchmarking—
Chris WixonSavannah VascularSpeakerTaming of the Shrew: Using a Knowledge Graph to capture structured Health Information Data—
Corey LanumCambridge IntelligenceSpeakerHow to Destroy Your Graph Project with Terrible Visualization—
Corey LanumCambridge IntelligenceSpeakerBuild a Visualization Application in Real Time—
Dave BechbergerDataStaxSpeakerIntro to Graph Databases for Data Scientists—
David KjerrumgaardStreamlioSpeakerUsing Apache Pulsar to Provide Real-Time IoT Analytics on the Edge—
Davin PottsAppliomicsSpeakerChoosing Sides When Choosing Tools Hurts—
Dinesh A. Joshi—SpeakerNeed for speed: Boosting Apache Cassandra's performance using Netty—
Dominik TomicevicMemgraphSpeakerIntroduction to Memgraph—
Gabriel TanaseGraphenSpeakerPredicting new edges in large scale dynamic graphs—
Holden KarauGoogleSpeakerUnderstanding Spark Tuning with Auto Tuning (or how to stop your pager going off at 2am*)—
Jans AasmanFranz IncSpeakerThe Intelligent Sales Organization Runs on Speech Recognition, Knowledge Graphs and AI—
Jeffrey GleasonNew KnowledgeSpeaker——
Jesse AndersonBig Data InstituteSpeakerCreating A Data Engineering Culture—
Joey EcheverriaSplunkSpeakerVisual Authoring of Real-Time Streaming Pipelines—
Jon AllenSyncThinkSpeakerThe Role of Data Science—
Jon HaddadThe Last PickleSpeaker10 Easy Ways to Tune Your Cassandra Cluster—
Jonathan MuganDeep GrammarSpeakerHow to Progress from NLP to Artificial Intelligence—
Jonathon MorganNew KnowledgeSpeaker——
Josh PerrymanExperoSpeakerAnd Bad Mistakes, I’ve Made a Few: Experience from the Trenches as a Graph Data Architect—
Joshua ShinavierUberSpeakerA Graph is a Graph is a Graph: Equivalence, Transformations, and Composition of Graph Data Models—
Juan SequedaCapsentaSpeakerBuilding Enterprise Knowledge Graphs: Lessons Learned from the Trenches—
Juan SequedaCapsentaSpeakerDesign Knowledge Graphs Simply: An Introduction to Gra.fo—
Karthik RamasamyStreamlioSpeakerUsing Apache Pulsar to Provide Real-Time IoT Analytics on the Edge—
Karthik RamasamyStreamlioSpeakerApache Pulsar: Next Generation Cloud Native Messaging Streaming System—
Kristian HammondNarrative ScienceSpeakerThe Rise of the New AI: The Relationship between the Growth of Data and the AI of Today—
Leanne FitzpatrickHelloSodaSpeakerShipping a Machine Learning model to Production; is it always smooth sailing?—
Leo MeyerovichGraphistrySpeakerUsing GPUs & Design to Scale Visual Analysis of Digital Crime—
Lynn PausicExperoSpeakerMoving Beyond Node Views—
Mayank KejriwalInformation Sciences InstituteSpeakerLet's embed everything!—
Michael BertholdKNIME & Konstanz UniversitySpeakerData Science Automation: Facts & Fiction—
Michael FreedmanTigerDataSpeakerPerformant time-series data management and analytics with Postgres—
Michael HacksteinArangoDBSpeakerA Scalable Graph Database Platform with ArangoDB on Kubernetes—
Michael UscholdSemantic ArtsSpeakerBreaking Down Silos with Knowledge Graphs—
Michelle CasbonGoogleSpeakerKubeflow explained: Portable machine learning on Kubernetes—
Mingxi WuTigerGraphSpeakerEight Prerequisites of a Graph Query Language—
Patrick McFadinDataStaxSpeakerSix Things You Need to Know about Cassandra and Kafka—
Petra SelmerNeo4jSpeakerGQL: Towards a Standardized Property Graph Query Language—
Robert Munro—SpeakerTransfer Learning Today: the Good, the Bad, and the Ugly of NLP in 2019—
Roger BargaAmazon Web ServicesSpeakerExtracting Real-Time Insights from Streaming Data—
Ryan BoydNeo4jSpeakerData Science Tools: Cypher for Data Munging—
Sanghamitra DebCheggSpeakerUsing weak supervision and transfer learning techniques to build a knowledge graph to improve student experiences at Chegg—
Sanjay JoshiDell TechnologiesSpeakerMorals from a Type 2 Diabetes dataset analytics journey—
Shannon CopelandN3SpeakerThe Intelligent Sales Organization Runs on Speech Recognition, Knowledge Graphs and AI—
Steve SarsfieldCambridge SemanticsSpeakerBenchmarking a Graph OLAP database to complement OLTP systems—
Ted WilmesExperoSpeakerHigh Performance JanusGraph Batch & Stream Loading—
Tim BerglundConfluentSpeakerDissolving the Problem: Kafka is more ACID Than Your Database—
Tim BerglundConfluentSpeakerSix Things You Need to Know about Cassandra and Kafka—
Tom ZeppenfeldtGraphileonSpeakerYour application is a graph too!—
William LyonNeo4jSpeakerOperationalizing Graph Analytics With Neo4j—

Sources