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Agenda

Get a deep dive into sessions. We’ll be updating this page regularly as speakers and topics are locked in.

Day 1 | April 4, 2023

9:00 AM - 9:45 AM

Welcome keynote and kickoff

George Fraser, CEO & Co-Founder, Fivetran

Ali Ghodsi, CEO, Databricks

Tristan Handy, CEO & Founder, dbt labs

Join CEOs across the data stack as they open our 1.5 days together.

1.00

11:45 AM - 12:30 PM

Breakout 1

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1.05

11:45 AM - 12:30 PM

Future-state planning with your modern data stack

Nana Yaw Essuman, Senior Director, Data Engineering, Conde Nast

Mark Kidwell, Chief Data Architect, Autodesk

For teams with robust, fully built-out modern data stacks, what’s next? In this session, we’ll hear from leaders who have built and scaled their stacks and are now tackling next-gen tasks. From ML operations to instant movement of massive amounts of data around the world, we’ll learn how folks with mature data stacks are pushing the boundaries of what their companies and teams can do with data.

1.10

11:45 AM - 12:30 PM

From legacy to latest & greatest

Bill Murphy, Managing Partner, Cresting Wave

Moving from an older, legacy stack to a modern one isn’t something that happens overnight - and bringing your internal stakeholders as well as your team along is often one of the trickiest parts of this transition. At this session, we’ll talk with folks who are making the transition from legacy systems to the latest and greatest modern data stacks. They’ll offer advice for how they got started, what their biggest hurdles were and what they wish they had known at the start. And, we’ll dig into not just the technical challenges with transitioning but the cultural and mindshift changes needed to bring everyone along.

1.15

1:30 PM - 2:15 PM

Breakout 2

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1.20

1:30 PM - 2:15 PM

Knitting your own data fabric: Real possibility or impossible fantasy?

Meera Viswanathan, Senior Product Manager, Fivetran

One of the hottest topics in the data space is “data fabric,” but what is it — and what makes it different from “data mesh” or any other buzz term? Is it actually achievable? What does it mean for data governance? In this session, you’ll get an honest take on this term, including what it promises to deliver and whether the promises can be kept.

1.25

1:30 PM - 2:15 PM

Keeping up with the modern data stack

Nikolay Voronchikhin, Cloud Solutions & Applications Analyst, Cisco

Utsav Kaushish, VP of Analytics, User Interviews

Tameem Iftikhar, Chief Technology Officer, Flywheel Software

Leah Weiss, Co-Founder & Co-CEO, Preql

It feels like every month there’s a new tool, system or program that is going to transform the way we use data. Keeping up with all these trends and changes feels overwhelming — and how can one separate the real innovations from the overpromising, far-too-niche players? At this session, we’ll have a healthy debate about all the changes to the MDS of late, the latest MDS tools and trends, and the best ways to keep up with the changes.

1.30

2:30 PM - 3:15 PM

Breakout 3

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1.35

2:30 PM - 3:15 PM

Scaling your data team’s impact without scaling costs

Maura Church, Director of Data Science & Engineering, Patreon

Saumya Bhatnagar, CPO & Co-Founder, involve.ai

Pardhu Gunnam, CEO & Co-Founder, Metaphor Data

Veronica Zhai, Director, Analytics Technical Product Management, Fivetran

Once you’ve proven the power of data and your data team at your company, the next question is, “How can I get more?” But that request doesn’t always lead to more resources — especially at early-stage companies. In this session, you’ll hear from data professionals who have learned to do more with less; specifically, we’ll focus on how teams can move from request backlogs to proactive data teams. You’ll learn what they wish they had done differently as they scaled, and which tools, programs and resources they relied on.

1.40

2:30 PM - 3:15 PM

Be a data model: your guide to dbt™ best practices

Emily Hawkins, Data Engineering Manager, GlossGenius

Alex Hauer, Senior Product Marketing Manager, Transformations, Fivetran

Joe Markiewicz, Solutions Analytics Manager, Fivetran

dbt continues to gain traction and popularity, and for good reason. At this session, we’ll bring together dbt power users to hear how and why they got into dbt, as well as some of their best practices for getting started and ramping up. Whether you are a dbt pro or just dipping your toes in, this session will ensure that you’re set up for success and using best practices moving forward.

1.45

3:30 PM - 3:50 PM

Building the new standard for data movement

Fraser Harris, VP of Product, Fivetran

Following a day packed with all things data fabric, transformations and next-gen use cases, learn about the future of Fivetran and how it fits into the broader picture. Join Fivetran VP of Product Fraser Harris as he walks us through how Fivetran as a platform will keep up with the needs of data teams and respond to the demands of the data industry. He’ll also discuss the Fivetran product philosophy and how we’re changing what it means to move data.

1.50

4:00 PM - 4:30 PM

The modern data stack is dead, long live the modern data stack!

Barr Moses, CEO & Co-Founder, Monte Carlo

George Fraser, CEO & Co-Founder, Fivetran

Sarah Catanzaro, General Partner, Amplify Partners

Benn Stancil, Chief Analytics Officer, Mode

The modern data stack (MDS) as a concept hasn’t been around that long, but folks across Twitter and LinkedIn have already started calling it a thing of the past. We’ll close out our day by debating the elephant in the room: What is the modern data stack, really? Is it just a set of tools? An approach to data? Do we need a new phrase? Should we lean into the concept even more — or retire it altogether? Join us for a spirited debate.

1.55

4:30 PM - 6:30 PM

Welcome Reception

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Join us to celebrate closing out day one with food, drinks and enticing activations - you won’t want to miss it!

1.60

9:00 AM - 10:00 AM

The future of the supply chain: How the Modern Data Stack is transforming logistics

Sanjeev Mohan, Principal, SanjMo & Former Gartner Research VP, Big Data and Advanced Analytics

Himali Kumar, Director Data Management, AutoZone

Saurabh Parikh, Chief Data & Innovation Officer, CONA Services LLC

The pace of innovation continues unabated — especially across the global supply chain, where logistics challenges have made data and a data-driven mindset critical to ensuring the efficient flow of goods around the world. In this session, you’ll hear from leaders across manufacturing, retail, transportation and logistics about how the intersection of shrewd business leadership and a modern data stack will drive massive innovation amidst a turbulent market.

2.00

10:15 AM - 12:00 PM

Hands-on labs

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2.10

10:15 AM - 12:00 PM

Using no-code and custom pipelines to build fast

Alex Streed, Integrations Team Lead, Prefect

In the history of data engineering, there have always been two dichotomous approaches: write custom code (typically in Python) or use a no-or low-code tool such as Fivetran. These worlds are now merging and for good reason. Data teams have massive scope and responsibilities today, and they want to focus their limited resources on the most critical problems that require human ingenuity — and frankly are a lot more fun. Join this session to learn why companies today are outsourcing connections and dataflows to vendors like Fivetran to manage the hundreds of API endpoints while maintaining control and viability with a tool like Prefect.

2.15

10:15 AM - 12:00 PM

Accelerate your time to insight with Fivetran Transformations for dbt Core

Alex Hauer, Senior Product Marketing Manager, Transformations, Fivetran

Angel Hernandez, Lead Sales Engineer, Fivetran

Jack Lowery, Solution Architect, Fivetran

Fivetran integrates with dbt Core to power our transformations in your preferred cloud destination. dbt Core, by dbt Labs, is an open-source transformation tool that enables you to perform sophisticated data transformations in your destination using simple SQL statements.
During our hands-on lab, we’ll walk you through setting up transformations and show you how to:
- Integrate dbt Core with Fivetran
- Use version control and other advanced features with your transformations
- Run your first job using Fivetran pre-built data models to model your data In order to participate in this lab, you must have a Fivetran account and complete prework (which will be sent to you when you register). Sign up for a 14-day free trial here. Please note: pre-work may take up to 2 hours to complete, so plan accordingly. Requirements and details will be shared ahead of time.

2.20

Modern data stack mentor

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Stop in and talk with MDS experts on topics including data movement, transformation, governance, security and ecosystem integration. We can help you troubleshoot issues, ask for advice or just discuss trends with our team of experts.

3.00

Choose your own database replication adventure

Kevin Kim, Senior Product Manager, Fivetran

Divyansh Saini, Co-founder & CEO, Houseware

Learn how replication methods have changed to evolve with data warehouse advancements and best practices for replicating data to the cloud, especially for high volume data. We’ll walk through the different replication techniques, when teams use them and why, and how to identify when you might need to change your replication strategy. 

3.05

New kids on the modern data stack block

Ryan Boyd, Co-founder, Motherduck

Gabi Steele, Co-Founder & Co-CEO, Preql

Chetan Sharma, CEO, Eppo

The modern data stack has been long known by its parts: automated data movement, data governance, BI, reverse ETL, AI/ML and more. But as the stack has matured, more have joined in. At this session, hear from leaders at hot startup companies as they offer quick-fire takes on how they are changing the face of the modern data stack even further.

3.10

Next top security model

Amy Peterson, Senior Group Product Manager, Fivetran

Tom Conklin, Chief Information Security Officer, Fivetran

Your data is yours to protect. Whether you’re moving into the cloud or built there to start, you'll need to ensure your cloud infrastructure is secure and compliant. Learn from Fivetran's security team about best practices for cloud SaaS security for every use case from multi-cloud to PCI compliance.

3.15

Scheming about schemas

Nick Acosta, Lead Developer Advocate, Fivetran

Benji Lampel, Airflow Engineering Advocate, Astronomer

Handling updated schemas — if it isn’t automated during data movement — is responsible for creating some of the most time-consuming work for downstream teams. A new trend is to look to developers who keep changing schemas as they update the products to see if the problem can be addressed at its source. In this discussion, we’ll dive into this trend and all things schemas-related.

3.20

Getting real about real-time data

Joseph deBuzna, VP, Product Management, Fivetran

Spencer Taylor, Director of Analytics, 4 Mile Analytics

Real time means a lot of things to different businesses. At this session, join the conversation about the reality of real-time data including how to define it, how to accomplish it and what it can do for your business — including a hearty debate on whether the cost of real-time data is worth the impact on your business. 

3.25

Access granted!

Austin Kronz, Director of Data Strategy, Atlan

Getting more of your teams — think Marketing, Sales and Finance — access to the data they need without creating bottlenecks or compromising on compliance is the promise of data democratization. We’ll break down what data democratization means and discuss the step-by-step process organizations are implementing to achieve this vision and the benefits it is already having on their bottom line. 

3.30

Connecting on connectors

Alison Kline, Lead Product Manager, Fivetran

Olivia Nix, Director of Core Product Marketing, Fivetran

Cloud functions, file connectors and now Lite connectors. Sit with our Product team as they walk you through the different connectors, how they work and how you can automate any data source you need. Plus, give feedback on the connectors themselves in this conversational connector-centric session.

3.35

What Constitutes a Good Machine Learning Project Structure

Charleigh Liang, Head of Marketing, Prefect

Brian Russell, Head of Legal, Prefect

Sarah Moses, Chief Operating Officer, Prefect

Khuyen Tran, DevRel Engineer, Prefect

Getting started is often the most challenging part when building (Machine Learning) ML projects. How should you structure your repository? Which standards should you follow? This session will discuss best practices for structuring data science projects to ensure they are readable, testable, well-documented, and reproducible.

3.40

Spilling the tea in ELT

Mike Boyarski, Chief Marketing Officer, Fivetran

Sam Hall, Solutions Architect, phData

Blaine Dunham, Director of Strategic Alliances, phData

Pete Soderling, Founder, Data Council

At this session, we’ll cover the top trends in ELT and the modern data stack. We’ll have honest takes on the latest fundings, mergers and acquisitions — and just all around have a healthy, engrossing debate on the latest news hitting the MDS community from key figures within it. 

3.45

Data sharing is data caring

Shane Swiderek, Senior Product Marketing Manager, Fivetran

Jimmy Hooker, Lead Product Manager, Fivetran

Beyond the value of your data, what is it worth? Data products represent net new revenue with hardly any incremental costs. In this session, hear from experts on the new trend of “data sharing,” debate what it means and how teams are taking steps towards making this new trend a reality.

3.50

Day 2 | April 5, 2023