Subsurface LIVE 2024 On Demand
In 2024 we explored the latest open source innovations in the open data lakehouse ecosystem. We showcased real-world applications, explored the of Apache Iceberg, and gained insights into the exciting developments in AI. We heard from companies like Apple, AWS, Blue Cross, and Vanguard about their experiences architecting and building modern cloud data lakes.
Watch the sessions on-demand that include topics such as Data Mesh, Iceberg, Governance, and AI.
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Keynote Sessions
Freedom, Creativity, and Results – The Promise of Open and Autonomous Data Platforms
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AI and Insight Foundations: Data Access and Quality Deliver Innovation
Rahim Bhojani, Dremio
SVP OF Engineering
Mark Sear
Director of AI, Data and Integration
Next-Gen DataOps with Iceberg & Git for Data
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Beyond Theory: Data Mesh in Action
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Keynote: Looking Forward-Apache Iceberg and the Iceberg Ecosystem
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Breakout Sessions
Building an Open Source Data Strategy with Dremio
JB Onofre
Principal Engineer Cloud
Semantic Layers as the Future of Self-Service Analytics: Best Practices on How to Define and Deploy
Casey Karst
Principal Product Manager, Dremio
Eliminating Data Downtime While Accelerating Data Science with Data Version Control
Ben Hudson
Principal Product Manager at Dremio
Sharing a Lakehouse at Nordea Asset Management: How we implemented Data Domains with Dremio
Anders Bogsnes
Head of Investments Engineering, Nordea Asset Management
Prod is the New Dev: Using Nessie to Build the Definitive CI/CD for Data
Ciro Greco
CEO, Bauplan
Insights from the Front Lines: How to Maximize Your Data Tech and AI Solutions
Dora Boussias, Stryker
Sr. Director, Data & Analytics, Stryker
The Modern Data Stack: Data Intelligence, Lakehouse, and GenAI for Business
Ari Kaplan, Databricks
Global Head of Evangelism, Databricks
ABC’s of ABC Supply
Rajkumar Magatala
Data Engineering Manager, ABC Supply
Stephen Brehm
Manager, Business Intelligence, ABC Supply
Automating Reflections Management with the Dremio-Airflow Plugin
Muhammed Irshad
Big Data Architect, Prevalent AI
Sanchit Sreekanth
Big Data Engineer, Prevalent AI
Unlocking AI Advancement: The Superiority of Lakehouse Architectures for Hosting Enterprise Knowledge Graphs
Dr. Weimo Liu
CEO, PuppyGraph
A Pragmatic Paradigm Approach to Data Mesh
Yassine Faihe
Sr. Director, Solutions Architect, Dremio
The Future of Data Engineering in a Post-AI World
Michelle Winters, eBay
Distinguished MTS, eBay
Demystifying Medallion and Lakehouse Architectures
Piethein Strengholt
Cloud Solution Architect @ Microsoft
DataOps at Dremio Lakehouse Management
Brock Griffey
Solutions Architect, Dremio
AJ Jensen
Data Engineer, Dremio
Supporting Nutanix transformation journey with Data-as-a-Service platform with Dremio
Sukumar Bairi
Sr. Database Administrator, Nutanix
Using Dremio to Implement a DataOps Framework for Managing Data Products
Dave Anderson
Presales Solutions Architect, Dremio
Navigating and Ensuring Robust Security and Governance in the Era of Generative AI
Don Bosco Durai, Privacera
CTO & Co-Founder
Alberto Romero
Director, GenAI Platform Engineering, CitiBank
Flight as a Service (FaaS) for Data Pipelines: Combining fast Python functions with Dremio through Arrow
Jacopo Tagliabue
Founder, Bauplan Labs
How S&P Global is Building an Azure Data Lakehouse with Dremio
Tian de Klerk
Director of Business Intelligence, S&P Global
Revolutionizing Data Lakes- How Dremio and MinIO Deliver a Modern AI Infrastructure
Ugur Tigli
CTO, MinIO
Brock Griffey
Solutions Architect, Dremio
The Next Big Challenge- Control over the Shared Lakehouse
Santona Tuli
Head of Data, Upsolver
VAST + Dremio- Astonishing Speed and Accelerated ROI for Data
Colleen Tartow
Field CTO, Head of Strategy, VAST Data
A Tale of Two Migrations- How to Modernize Your Data Stack, the Right Way
Gleb Mezhanskiy
CEO & Co-Founder, Datafold
Unified dataframe API for different data backend
Chip Huyen
VP of AI & OSS, Voltron Data
Redefining Cloud Trust- Perspective of Schwarz Group
Aman Kalra
Product Manager for Data and AI platform, STACKIT
Danyel Gros
Cloud Product Owner, STACKIT
Dremio and Power BI Direct Query models: an interesting journey to cost optimization
Yassine Trad
Data Architect, Bic
Syncing the Iceberg: Real-time Sailing at Terabyte Latitudes
Antonio Murgia, Agile Lab
Data Architect
Apache XTable (incubating): Interoperability among lakehouse table formats
Dipankar Mazumdar, Dremio
Staff Developer Advocate, Onehouse
Beyond Tables: What’s Next for Apache Iceberg in Data Architecture
Ryan Blue, Tabular
Co-founder and CEO
How Dremio’s Data Lakehouse Reduces TCO for Analytics
Lenoy Jacob, Dremio
Solutions Architect, Dremio
Solving Large Scale Data Access Challenges with Amazon S3
Aalhad Kulkarni
Sr Software Engineer, Amazon
Building and Benefitting from the On-Premises Lakehouse: How NetApp and Dremio Enable On-Premises Data Lakehouse Architectures
Vishnu Vardhan, NetApp
Director of Product Management
Lessons Learned from Running Merge-on-Read Iceberg Pipelines at Scale
Anton Okolnychyi, Apple
Software Engineer, Data Infrastructure at Apple
Optimizing Cost, User Experience, and Performance: Vanguard’s Dremio Implementation Journey
Hitesh Dundi
Enterprise Analytics Product Leader - Data, ML Platforms, Vanguard
Read Maloney, Dremio
CMO at Dremio
Optimizing Data Lakehouse Performance: Leveraging Dremio’s SQL Query Engine, Lakehouse Management Features and Apache Iceberg for Scalable Analytics
Balaji Ramaswamy, Dremio
Advanced Support Director, Dremio
Policy as Code: Automating Compliance with Data Mesh
Shawn Kyzer, AstraZeneca
Associate Director of Data Engineering, AstraZeneca
Best Practices for Building an Iceberg Data Lakehouse with Dremio
Alex Merced, Dremio
Developer Advocate
Hadoop Modernization for Financial Services with Nomura
Making Waves with Generative AI: The New Tide of Data Lakehousing
Karl Altern
Principal Program Manager, Domo
Replacing a Traditional Data Warehouse with Dremio for a Low Latency Lakehouse
Andy Guppy, RWE
RWE Supply & Trading - Lead in Data - Team Lead, RWE
Pankaj Choudhary
Sr Data Engineer, RWE
Diving Deeper: To Data Governance Excellence with AWS and Dremio
Leon Stigter
Sr. Technical Product Manager, AWS Lake Formation, AWS
From Zero Users to One Million Insights a Day in Six Months for Maersk with Dremio
Mark Sear
Director of AI, Data and Integration
Iceberg Development at Apple
Russell Spitzer, Apple
Software Engineer at Apple
Unleashing Data Agility with Virtual Data Marts and ZeroETL: The End of ETL as We Know It
Alex Merced, Dremio
Developer Advocate
The Rise of Generative AI in Analytics: How You Can put AI to Work
Isha Sharma
Director of Product Management @ Dremio
The Apache Arrow Revolution for Data Solutions
Yerachmiel Feltzman
Senior Big Data Engineer, Tikal
Demystifying Data Governance: How Dremio Enables Governed Data Sharing
Alex Merced, Dremio
Developer Advocate
A Case Study of Quebec Blue Cross Achieving Full CI/CD in Dremio with DBT
Alain Barrette
Data Platform Architect, Quebec Blue Cross
Havasu: A Table Format for Spatial Attributes in a Data Lake Architecture
William Lyon
Developer Relations Engineer, Wherobots
Delivering the Fastest Time to Analytic Insight with Dremio Reflections
Benny Chow
Principal Software Engineer
Michelin’s Journey to Self-Service Analytics & Streamlined Data Access with Dremio
Karim Hsini
Data & Analytics Enterprise Architect, Michelin
Joris Nurit
Data Transformation Leader, Michelin
Winning the War on Data with Dremio
Lucas Durand
Director, Data Platform & Analytics, TD Securities