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

Whats New in Apache Iceberg 1
Iceberg
Open Source
What’s New in Apache Iceberg

Ryan Blue, Tabular

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

Shells Journey to Data Mesh
Customer Use Cases
Data Mesh
Enterprises
Real-world implementation
Shell’s Journey to Data Mesh

Tamas Kerekjarto, Shell

Engineering Lead and Senior Architect

data mesh in practice 1
Data Mesh
Real-world implementation
Data Mesh in Practice

Hear from experts from

NextData | Shell | Agile Lab | Dremio
state of apache iceberg 1
Iceberg
The State of Apache Iceberg

Hear from experts from

Apple | Tabular | dbInsight | MotherDuck | Dremio
Data Governance at Scale with Microsoft
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

Matt Aslett from Ventana speaks at Subsurface 2023 1 1
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

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

Hear from experts from

Ventana Research
Reimagining Our Organisations Data Economy 1
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

Putting Data Engineering Data Science into the Next Gear Through a Modern Data Lakehouse at Shell 3
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

Putting Data Engineering Data Science into the Next Gear Through a Modern Data Lakehouse at Shell 2 1
Enterprises
Iceberg
Open Source
Real-world implementation
The Year of the Data Lakehouse

Hear from experts from

TransUnion | Dremio | Shell
Matt Peachey speaks at Subsurface 2023 1
Opening Remarks from Matt Peachey Vice President, International (EMEA & APAC) at Dremio.

Matt Peachey, Dremio

Vice President, International (EMEA & APAC)

Transunion Keynote  
Self Service in a Regulatory Environment
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

Breakout Sessions

Taming The Chaos  Standardizing Disparate Police Data in a Modern Multi Tenant B2G SaaS Environment 1
Real-world implementation
Taming The Chaos: Standardizing Disparate Police Data in a Modern Multi-Tenant B2G SaaS Environment

Brendan Cronin, ForceMetrics

Architect

Self Serve Reporting at Scale via Change Data Capture and Delta 1
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

Bazaars Data Platform
Data Mesh
Real-world implementation
Bazaar`s Data Platform

Umair Abro, Bazaar Technologies

Engineering Coach (Data & ML Engineering)

Massive Survey Dataset Exploration with Dremio and Power BI  Discussing Strategies for an Optimal View and Reflection Creation
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

NoSQL Database and Hybrid Cloud Usage Scenarios at Rakuten Travel 1
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

Product Analytics at Wayfair 3
Enterprises
Real-world implementation
How Wayfair’s product team track, visualize, analyze user engagement, and behavior data

Siddharth Jain, Wayfair

Senior Engineering Manager

How a Data Lakehouse Architecture and Dremio are Addressing Memorial Sloan Ketterings Data Challenges in Medical Research 2
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

Whats a Database in 2023  1
What’s a Database in 2023?

Benn Stancil, Mode

Chief Analytics Officer

Rewriting History  Migrating Petabytes of Data to Apache Iceberg Using Trino 1
Iceberg
Open Source
Rewriting History: Migrating Petabytes of Data to Apache Iceberg Using Trino

Marc Laforet, Shopify

Senior Data Engineer

ADBC  Arrow Database Connectivity 1
Open Source
ADBC: Arrow Database Connectivity

Matt Topol, Voltron Data

Staff Software Engineer

Tame the small files problem and optimize data layout for streaming ingestion to Iceberg 2
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

Cell Encryption with Apache Parquet
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

Leveraging a Data Lakehouse for Energy Trading
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 "

CD on the Lakehouse  Making Data Changes and Repair Safe and Easy 2
Iceberg
Open Source
CI/CD on the Lakehouse: Making Data Changes and Repair Safe and Easy

Alex Merced, Dremio

Developer Advocate

Delivering Self Service Analytics on Dynamic 365 ERP 1
Customer Use Cases
Real-world implementation
Delivering Self-Service Analytics on Dynamic 365 ERP

Ricardo Rietveld, Pon

Head of BI

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

Dipankar Mazumdar, Dremio

Developer Advocate

How to Migrate Your Tables to Apache Iceberg 2
Iceberg
How to Migrate Your Tables to Apache Iceberg

Alex Merced, Dremio

Developer Advocate

Supporting 1000s of concurrent interactive queries with Dremio Sonar
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
How to Strengthen DataOps with Continuous Data Observability

Ryan Yackel, Databand

IBM Product Strategy Leader

Why is no one visiting my lakehouse  Unlocking the power of your lakehouse for low and no code users
Why is no one visiting my lakehouse?

Mohammed Aaser, Domo

Chief Data Officer

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

Benny Chow

Principal Software Engineer

Tony Truong

Senior Product Marketing Manager, Dremio

Listing Files on 
Object Storage is Slow How Dremio Addresses That for All Datasets With Apache Iceberg 1
Iceberg
Listing Files on Object Storage is Slow How Dremio Addresses That for All Datasets With Apache Iceberg

Ben Hudson

Principal Product Manager at Dremio

Using data science for Contact Center optimization 2
Customer Use Cases
Using data science for Contact Center optimization

Siddharth Garg, TransUnion

Senior Analyst, Data Science and Analytics

Data Mesh in Action 1
Data Mesh
Data Mesh in Action

Marian Siwiak, Cognition Shared Solutions LLC

Chief Data Science Officer

Block by Block  Making web3 Data Accessible using an Open Lakehouse Architecture 1
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

How Our Iceberg Migration Achieved 90 Cost Savings for Amazon S3 1
Open Source
Real-world implementation
How Our Iceberg Migration Achieved 90% Cost Savings for Amazon S3

Deniz Parmaksız, Insider

Senior Machine Learning Engineer

Unboxing the Concept of Drift in ML 1
Data Science
Unboxing the Concept of Drift in ML

Supreet Kaur, Morgan Stanley

AVP

From Business Intelligence to Streaming Decisions
Lakehouse Architecture
From Business Intelligence to Streaming Decisions

Charly Clairmont, Synaltic

Chief Technology Officer

LakeHouse  Smart Iceberg Table Optimizer 1
Enterprises
Iceberg
Open Source
Lakehouse: Smart Iceberg Table Optimizer

Rajasekhar Konda, Apple

Engineering Manager - AI/ML Data Platform

Steve Zhang, Apple

Senior Software Engineer

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

Ramki Ranganathan, Systech

Vice President, Data & Analytics

Metadata for Developers  Building a Data API 1
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

Migrating from Delta Lake to Iceberg 2
Iceberg
Open Source
Migrating from Delta Lake to Iceberg

Scott Teal, Snowflake

Senior Product Marketing Manager

Best Practices for Building and Operating a Lakehouse on Amazon S3 1
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

DataOps in Action with Nessie Iceberg and Great Expectations 1
Iceberg
Open Source
DataOps in Action with Nessie, Iceberg, and Great Expectations

Antonio Murgia, Agile Lab

Data Architect

Dive deep of Apache Iceberg on AWS 2
Iceberg
Open Source
Dive deep of Apache Iceberg on AWS

Veena Vasudevan, Amazon Web Services

Senior Partner Solutions Architect

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

Technical Evolution of Apache Iceberg 2
Enterprises
Open Source
Technical Evolution of Apache Iceberg

Anton Okolnychyi, Apple

Software Engineer

Scaling row level deletions at Pinterest 2
Enterprises
Iceberg
Open Source
Scaling Row Level Deletions at Pinterest

Ashish Singh, Pinterest

Senior Technical Leader

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

Szehon Ho, Apple

Software Engineer

Fast Data Processing with Apache Arrow
Open Source
Fast Data Processing with Apache Arrow

Andrei Ionescu, Adobe

Senior Software Engineer

Managing Data Files In Apache Iceberg
Enterprises
Iceberg
Open Source
Subsurface Live 2023: Iceberg File Management

Russell Spitzer, Apple

Software Engineer

Putting Data Engineering Data Science into the Next Gear Through a Modern Data Lakehouse at Shell 1
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

PRQL  a modern language for transforming data 1
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

Topics