Subsurface LIVE 2023 On Demand

Subsurface 2023 explores the latest open source innovations in the open data lakehouse ecosystem and shares real-world use cases. You will hear from technology leaders at companies such as Apple, Wayfair, Shell, TransUnion, Pinterest, and Shopify about their experiences architecting and building modern cloud data lakehouses.

Watch the sessions on-demand that include topics such as Data Mesh, Iceberg, and Data Lakehouse Architecture best practices.

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Keynote Sessions

Data Mesh
Real-world implementation
Data Mesh in Practice

Hear from experts from

NextData | Shell | Agile Lab | Dremio
Iceberg
The State of Apache Iceberg

Hear from experts from

Apple | Tabular | dbInsight | MotherDuck | Dremio
Iceberg
Open Source
What’s New in Apache Iceberg

Ryan Blue, Tabular

Co-Creator of Apache Iceberg, CEO and Co-Founder

Enterprises
Lakehouse Architecture
Real-world implementation
Data Governance at Scale with Microsoft

Mike Flasko, Microsoft

Vice President & General Manager, Data Governance

Read Maloney, Dremio

CMO at Dremio

Hear from Ventana Research on the newest trends shaping the future of the Data industry including a deep dive into Data Lakes

Matt Aslett, Ventana Research

VP & Research Director

Lakehouse Architecture
Panel on the role of open data lakehouse in data democratization.

Hear from experts from

Ventana Research
Opening Remarks from Matt Peachey Vice President, International (EMEA & APAC) at Dremio.

Matt Peachey, Dremio

Vice President, International (EMEA & APAC)

Customer Use Cases
Lakehouse Architecture
Real-world implementation
Reimagining One Mount’s Organization’s Data Economy with Multiple Business Units

Gia Truong, One Mount Group

Data Engineering Director

Customer Use Cases
Data Mesh
Enterprises
Real-world implementation
Transunion Keynote: Self-Service in a Regulatory Environment

Deepika Duggirala, TransUnion

Senior Vice President, Global Technology Platforms

Lakehouse Architecture
Lakes and Lakehouses: The Evolution of Analytics in the Cloud with AWS

Rajesh Sampath, Amazon Web Services

GM, Amazon S3 API Experience

Rahim Bhojani, Dremio

SVP OF Engineering

Enterprises
Iceberg
Open Source
Real-world implementation
The Year of the Data Lakehouse

Hear from experts from

TransUnion | Dremio | Shell
Customer Use Cases
Data Mesh
Enterprises
Real-world implementation
Shell’s Journey to Data Mesh

Tamas Kerekjarto, Shell

Engineering Lead and Senior Architect

Breakout Sessions

Why is no one visiting my lakehouse?

Mohammed Aaser, Domo

Chief Data Officer

Iceberg
Open Source
DataOps in Action with Nessie, Iceberg, and Great Expectations

Antonio Murgia, Agile Lab

Data Architect

Data Mesh
Data Mesh in Action

Marian Siwiak, Cognition Shared Solutions LLC

Chief Data Science Officer

Customer Use Cases
Open Source
Real-world implementation
Block-by-Block: Making web3 Data Accessible Using an Open Lakehouse Architecture

Luke Kim, Spice AI

Founder and CEO

Open Source
Real-world implementation
How Our Iceberg Migration Achieved 90% Cost Savings for Amazon S3

Deniz Parmaksız, Insider

Senior Machine Learning Engineer

Data Science
Unboxing the Concept of Drift in ML

Supreet Kaur, Morgan Stanley

AVP

Lakehouse Architecture
From Business Intelligence to Streaming Decisions

Charly Clairmont, Synaltic

Chief Technology Officer

Enterprises
Iceberg
Open Source
Lakehouse: Smart Iceberg Table Optimizer

Rajasekhar Konda, Apple

Engineering Manager - AI/ML Data Platform

Steve Zhang, Apple

Senior Software Engineer

Lakehouse Architecture
Data Lakehouse – Why, What & How & accelerate and De-risk adoption

Ramki Ranganathan, Systech

Vice President, Data & Analytics

Customer Use Cases
Enterprises
(Meta)data for developers: building a data API

Ian Lindblom, Marsh McLennan

Head of Data Strategy

Ed Olson-Morgan, Marsh McLennan

Core API and Innovation Lead

Iceberg
Open Source
Migrating from Delta Lake to Iceberg

Scott Teal, Snowflake

Senior Product Marketing Manager

Iceberg
Lakehouse Architecture
Best Practices for Building and Operating a Lakehouse on Amazon S3

Huey Han, Amazon Web Services

Senior Product Manager

Jorge Lopez, Amazon Web Services

Pr. Analytics Specialist

Customer Use Cases
Using data science for Contact Center optimization

Siddharth Garg, TransUnion

Senior Analyst, Data Science and Analytics

Iceberg
Open Source
Dive deep of Apache Iceberg on AWS

Veena Vasudevan, Amazon Web Services

Senior Partner Solutions Architect

Open Source
Ten years of Building Open Source Standards: From Parquet to Arrow to OpenLineage

Julien Le Dem, Astronomer

Co-creator of Apache Parquet, Chief Architect

Enterprises
Open Source
Technical Evolution of Apache Iceberg

Anton Okolnychyi, Apple

Software Engineer

Enterprises
Iceberg
Open Source
Scaling Row Level Deletions at Pinterest

Ashish Singh, Pinterest

Senior Technical Leader

Enterprises
Iceberg
Open Source
Apache Iceberg’s Best Secret: A Guide to Metadata Tables

Szehon Ho, Apple

Software Engineer

Open Source
Fast Data Processing with Apache Arrow

Andrei Ionescu, Adobe

Senior Software Engineer

Enterprises
Iceberg
Open Source
Managing Data Files In Apache Iceberg

Russell Spitzer, Apple

Software Engineer

Lakehouse Architecture
Real-world implementation
Putting Data Engineering & Data Science into the Next Gear Through a Modern Data Lakehouse at Shell

Kalidoss (Nata) Natarajan, Shell

Data Science and ML Engineer for Power Digital Core

Raja Perumalsamy, Shell

Architect and Technical Manager

Open Source
PRQL: a modern language for transforming data

Tobias Brandt, PRQL

Codewright, PRQL Evangelist, Data Engineer and Scientist

Aljaž M. Eržen, EdgeDB

Compiler Developer

Enterprises
Open Source
Cell Encryption with Apache Parquet

Pavi Subenderan, Uber

Senior Software Engineer

Xinli Shang, Uber

Senior Staff Engineer at UberPMC, Chair of Apache Parquet

Lakehouse Architecture
Real-world implementation
Self Serve Reporting at Scale via Change Data Capture and Delta

Rohan Raj, MiQ

Engineering Manager

Rati Ranjan

Senior Software Engineer

Data Mesh
Real-world implementation
Bazaar`s Data Platform

Umair Abro, Bazaar Technologies

Engineering Coach (Data & ML Engineering)

Real-world implementation
Massive Survey Dataset Exploration with Dremio and Power BI: Discussing Strategies for an Optimal View

Oscar Martinez Rubi, ClearPeaks

Head of Big Data, Cloud and Advanced Analytics

Alex Maillo, ClearPeaks

Data Engineer

Enterprises
Real-world implementation
NoSQL Database and Hybrid Cloud Usage Scenarios at Rakuten Travel

Akihiro Tatematsu, Rakuten

Principal Database Engineer

Edward Chow, Rakuten

Database Engineer

Enterprises
Real-world implementation
How Wayfair’s product team track, visualize, analyze user engagement, and behavior data

Siddharth Jain, Wayfair

Senior Engineering Manager

Iceberg
Partition and File Pruning for Dremio’s Apache Iceberg-backed Reflections

Benny Chow

Principal Software Engineer

Tony Truong

Senior Product Marketing Manager, Dremio

Iceberg
Listing Files on Object Storage is Slow How Dremio Addresses That for All Datasets With Apache Iceberg

Ben Hudson

Staff Product Manager at Dremio

Iceberg
Open Source
Tame the Small Files Problem and Optimize Data Layout for Streaming Ingestion to Iceberg

Gang Ye, Apple

Software Engineer

Steven Wu, Apple

Software Engineer

Real-world implementation
Taming The Chaos: Standardizing Disparate Police Data in a Modern Multi-Tenant B2G SaaS Environment

Brendan Cronin, ForceMetrics

Architect

Customer Use Cases
Enterprises
Lakehouse Architecture
Leveraging a Data Lakehouse for Energy Trading

Nick Plassmann, RWE Supply & Trading

Senior Project Manager - "Lead in Data"

Costas Gavriel, Baringa

"Senior Manager, Data Analytics & AISenior Manager, Data Analytics & AI "

Iceberg
Open Source
CI/CD on the Lakehouse: Making Data Changes and Repair Safe and Easy

Alex Merced, Dremio

Developer Advocate

Customer Use Cases
Real-world implementation
How a Data Lakehouse Architecture and Dremio are Addressing Memorial Sloan Kettering’s Data Challenges in Medical Research

Arfath Pasha, Memorial Sloan Kettering Cancer Center

Software Engineer

Customer Use Cases
Real-world implementation
Delivering Self-Service Analytics on Dynamic 365 ERP

Ricardo Rietveld, Pon

Head of BI

Open Source
Apache Arrow Flight SQL: High Performance, Simplicity, and Interoperability for Data Transfers

Dipankar Mazumdar, Dremio

Developer Advocate

What’s a Database in 2023?

Benn Stancil, Mode

Chief Analytics Officer

Iceberg
How to Migrate Your Tables to Apache Iceberg

Alex Merced, Dremio

Developer Advocate

Iceberg
Open Source
Rewriting History: Migrating Petabytes of Data to Apache Iceberg Using Trino

Marc Laforet, Shopify

Senior Data Engineer

Open Source
ADBC: Arrow Database Connectivity

Matt Topol, Voltron Data

Staff Software Engineer

Customer Use Cases
Lakehouse Architecture
Supporting 1000s of concurrent interactive queries with Dremio Sonar

Lenoy Jacob, Dremio

Solutions Architect, Dremio

How to Strengthen DataOps with Continuous Data Observability

Ryan Yackel, Databand

IBM Product Strategy Leader

Topics